Python Architect

Role: Perl Developer

Location: Remote

Experience: 6–8 years

Shift: General

Job Description

Primary Skills (Must Have):

• Strong Perl development skills.
• Good knowledge of Python and T-SQL / SQL Server to create compatible code.
• Hands-on experience with ADO, Git, and release management practices.

Secondary Skills (Good to Have):

• Familiarity with monitoring/alerting tools.
• Exposure to automation tools.

Day-to-Day Responsibilities

• Perform application code conversion for compatibility between Sybase and MS SQL.
• Work on existing Perl-based codebase, ensuring maintainability and compatibility.
• Convert code into Python where feasible (as part of the migration strategy).
• Where Python conversion is not feasible, create compatible code in Perl.
• Collaborate with the team on release management and version control (Git).

Position Overview

We are seeking a skilled Developer to join our engineering team. The ideal candidate will have strong expertise in Java and Python ecosystems, with hands-on experience in modern web technologies, messaging systems, and cloud-native development using Kubernetes.

Key Responsibilities

• Design, develop, and maintain scalable applications using Java and Spring Boot framework
• Build robust web services and APIs using Python and Flask framework
• Implement event-driven architectures using NATS messaging server
• Deploy, manage, and optimize applications in Kubernetes environments
• Develop microservices following best practices and design patterns
• Collaborate with cross-functional teams to deliver high-quality software solutions
• Write clean, maintainable code with comprehensive documentation
• Participate in code reviews and contribute to technical architecture decisions
• Troubleshoot and optimize application performance in containerized environments
• Implement CI/CD pipelines and follow DevOps best practices
•  
• Required Qualifications
• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)
•  
• Skills & Competencies
• Skills Java (Spring Boot, Spring Cloud, Spring Security)
•  
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking
• Strong communication and collaboration
• Self-motivated with ability to work independently
• Attention to detail and code quality
• Continuous learning mindset
• Team player with mentoring capabilities

Certa (getcerta.com) is a Silicon Valley-based startup automating the vendor, supplier, and stakeholder onboarding processes for businesses globally. Serving Fortune 500 and Fortune 1000 clients, Certa's engineering team tackles expansive and deeply technical challenges, driving innovation in business processes across industries.

Location: Remote (India only)

Role Overview

We are looking for an experienced and innovative AI Engineer to join our team and push the boundaries of large language model (LLM) technology to drive significant impact in our products and services . In this role, you will leverage your strong software engineering skills (particularly in Python and cloud-based backend systems) and your hands-on experience with cutting-edge AI (LLMs, prompt engineering, Retrieval-Augmented Generation, etc.) to build intelligent features for enterprise (B2B SaaS). As an AI Engineer on our team, you will design and deploy AI-driven solutions (such as LLM-powered agents and context-aware systems) from prototype to production, iterating quickly and staying up-to-date with the latest developments in the AI space . This is a unique opportunity to be at the forefront of a new class of engineering roles that blend robust backend system design with state-of-the-art AI integration, shaping the future of user experiences in our domain.

Key Responsibilities

• Design and Develop AI Features: Lead the design, development, and deployment of generative AI capabilities and LLM-powered services that deliver engaging, human-centric user experiences . This includes building features like intelligent chatbots, AI-driven recommendations, and workflow automation into our products.
• RAG Pipeline Implementation: Design, implement, and continuously optimize end-to-end RAG (Retrieval-Augmented Generation) pipelines, including data ingestion and parsing, document chunking, vector indexing, and prompt engineering strategies to provide relevant context to LLMs . Ensure that our AI systems can efficiently retrieve and use information from knowledge bases to enhance answer accuracy.
• Build LLM-Based Agents: Develop and refine LLM-based agentic systems that can autonomously perform complex tasks or assist users in multi-step workflows. Incorporate tools for planning, memory, and context management (e.g. long-term memory stores, tool use via APIs) to extend the capabilities of our AI agents . Experiment with emerging best practices in agent design (planning algorithms, self-healing loops, etc.) to make these agents more reliable and effective.
• Integrate with Product Teams: Work closely with product managers, designers, and other engineers to integrate AI capabilities seamlessly into our products, ensuring that features align with user needs and business goals . You’ll collaborate cross-functionally to translate product requirements into AI solutions, and iterate based on feedback and testing.
• System Evaluation & Iteration: Rigorously evaluate the performance of AI models and pipelines using appropriate metrics – including accuracy/correctness, response latency, and avoidance of errors like hallucinations . Conduct thorough testing and use user feedback to drive continuous improvements in model prompts, parameters, and data processing.
• Code Quality & Best Practices: Write clean, maintainable, and testable code while following software engineering best practices . Ensure that the AI components are well-structured, scalable, and fit into our overall system architecture. Implement monitoring and logging for AI services to track performance and reliability in production.
• Mentorship and Knowledge Sharing: Provide technical guidance and mentorship to team members on best practices in generative AI development . Help educate and upskill colleagues (e.g. through code reviews, tech talks) in areas like prompt engineering, using our AI toolchain, and evaluating model outputs. Foster a culture of continuous learning and experimentation with new AI technologies.
• Research & Innovation: Continuously explore the latest advancements in AI/ML (new model releases, libraries, techniques) and assess their potential value for our products . You will have the freedom to prototype innovative solutions – for example, trying new fine-tuning methods or integrating new APIs – and bring those into our platform if they prove beneficial. Staying current with emerging research and industry trends is a key part of this role .

Required Skills and Qualifications

• Software Engineering Experience: 3+ years (Mid-level) / 5+ years (Senior) of professional software engineering experience. Rock-solid backend development skills with expertise in Python and designing scalable APIs/services. Experience building and deploying systems on AWS or similar cloud platforms is required (including familiarity with cloud infrastructure and distributed computing) . Strong system design abilities with a track record of designing robust, maintainable architectures is a must.
• LLM/AI Application Experience: Proven experience building applications that leverage large language models or generative AI. You have spent time prompting and integrating language models into real products (e.g. building chatbots, semantic search, AI assistants) and understand their behavior and failure modes . Demonstrable projects or work in LLM-powered application development – especially using techniques like RAG or building LLM-driven agents – will make you stand out .
• AI/ML Knowledge: Prioritize applied LLM product engineering over traditional ML pipelines. Strong chops in prompt design, function calling/structured outputs, tool use, context-window management, and the RAG levers that matter (document parsing/chunking, metadata, re-ranking, embedding/model selection). Make pragmatic model/provider choices (hosted vs. open) using latency, cost, context length, safety, and rate-limit trade-offs; know when simple prompting/config changes beat fine-tuning, and when lightweight adapters or fine-tuning are justified. Design evaluation that mirrors product outcomes: golden sets, automated prompt unit tests, offline checks, and online A/Bs for helpfulness/correctness/safety; track production proxies like retrieval recall and hallucination rate. Solid understanding of embeddings, tokenization, and vector search fundamentals, plus working literacy in transformers to reason about capabilities/limits. Familiarity with agent patterns (planning, tool orchestration, memory) and guardrail/safety techniques.
• Tooling & Frameworks: Hands-on experience with the AI/LLM tech stack and libraries. This includes proficiency with LLM orchestration libraries such as LangChain, LlamaIndex, etc., for building prompt pipelines . Experience working with vector databases or semantic search (e.g. Pinecone, Chroma, Milvus) to enable retrieval-augmented generation is highly desired.
• Cloud & DevOps: Own the productionization of LLM/RAG-backed services as high-availability, low-latency backends. Expertise in AWS (e.g., ECS/EKS/Lambda, API Gateway/ALB, S3, DynamoDB/Postgres, OpenSearch, SQS/SNS/Step Functions, Secrets Manager/KMS, VPC) and infrastructure-as-code (Terraform/CDK). You’re comfortable shipping stateless APIs, event-driven pipelines, and retrieval infrastructure (vector stores, caches) with strong observability (p95/p99 latency, distributed tracing, retries/circuit breakers), security (PII handling, encryption, least-privilege IAM, private networking to model endpoints), and progressive delivery (blue/green, canary, feature flags). Build prompt/config rollout workflows, manage token/cost budgets, apply caching/batching/streaming strategies, and implement graceful fallbacks across multiple model providers.
• Product and Domain Experience: Experience building enterprise (B2B SaaS) products is a strong plus . This means you understand considerations like user experience, scalability, security, and compliance. Past exposure to these types of products will help you design AI solutions that cater to a range of end-users.
• Strong Communication & Collaboration: Excellent interpersonal and communication skills, with an ability to explain complex AI concepts to non-technical stakeholders and create clarity from ambiguity . You work effectively in cross-functional teams and can coordinate with product, design, and ops teams to drive projects forward.
• Problem-Solving & Autonomy: Self-motivated and able to manage multiple priorities in a fast-paced environment . You have a demonstrated ability to troubleshoot complex systems, debug issues across the stack, and quickly prototype solutions. A “figure it out” attitude and creative approach to overcoming technical challenges are key.

Preferred (Bonus) Qualifications

• Multi-Modal and Agents: Experience developing complex agentic systems using LLMs (for example, multi-agent systems or integrating LLMs with tool networks) is a bonus . Similarly, knowledge of multi-modal AI (combining text with vision or other data) could be useful as we expand our product capabilities.
• Startup/Agile Environment: Prior experience in an early-stage startup or similarly fast-paced environment where you’ve worn multiple hats and adapted to rapid changes . This role will involve quick iteration and evolving requirements, so comfort with ambiguity and agility is valued.
• Community/Research Involvement: Active participation in the AI community (open-source contributions, research publications, or blogging about AI advancements) is appreciated. It demonstrates passion and keeps you at the cutting edge. If you have published research or have a portfolio of AI side projects, let us know !

Perks of working at Certa.ai:

• Best-in-class compensation
• Fully-remote work with flexible schedules
• Continuous learning
• Massive opportunities for growth
• Yearly offsite
• Quarterly hacker house
• Comprehensive health coverage
• Parental Leave
• Latest Tech Workstation
• Rockstar team to work with (we mean it!)

**Company Overview**

We are a VC-backed fintech startup developing an innovative online trading platform. As we scale, we're seeking a skilled Backend Engineer with expertise in Python to join our growing team and help build a robust, scalable infrastructure for our cutting-edge trading application.

We're based out of the UK and have our engineering team in India.

**Job Description**

We are looking for a backend developer who specialises in Python. Your role will focus on developing and maintaining the server-side logic, optimising performance, and ensuring seamless integration with the frontend. You’ll work closely with the engineering and product teams to deliver a high-quality, secure, and scalable platform.

**Responsibilities**

1. Develop and maintain server-side logic using Python

2. Design and implement APIs for seamless integration with frontend components

3. Optimise backend performance and scalability for high traffic and large data loads

4. Build and maintain databases, ensuring security, data integrity, and optimal performance

5. Collaborate with frontend engineers to ensure smooth integration between backend and frontend systems

6. Troubleshoot, debug, and optimise backend infrastructure

7. Implement data protection, security protocols, and authentication mechanisms (e.g., JWT)

8. Maintain and enhance real-time communication systems using WebSockets or similar protocols

**Required Skills**

1. Strong proficiency in Python and related technologies, knowledge of databases and SQL, and experience with web frameworks like Django or FastAPI

2. Strong analytical and troubleshooting skills, and the ability to solve problems

3. Good understanding of OOPs, task broking services, Queues, Redis

4. Familiarity with RESTful API design and integration

5. Strong understanding of database management (e.g., PostgreSQL, Redis) and caching strategies

6. Familiarity with modern authentication and authorization mechanisms (e.g., JWT, OAuth)

7. Proficiency in working with cloud hosting services (AWS, Google Cloud, etc.)

8. Experience with containerization and orchestration tools (Docker, Kubernetes)

9. Knowledge of real-time communication protocols (e.g., WebSockets, TCP, SSE)

10. Strong understanding of security best practices for server-side applications

11. Experience with version control (Git) and CI/CD pipelines

12. Minimum of 2-3.5 years of experience building scalable backend systems

**Perks**

1. Work From Anywhere Flexibility

2. Unlimited Leaves policy*

3. Competitive salary and unlimited growth opportunities

4. Insights on how HFT is done using cutting edge technology

If you’re passionate about building scalable, high-performance backend systems and want to be part of a cutting-edge fintech startup, we’d love to hear from you!

We are seeking a highly skilled and experienced Senior Python Developer to join our team. As a Senior Python Developer, you will be responsible for developing and maintaining high-quality code for our software projects. You should have strong expertise in Python programming and extensive experience with microservices architecture. Your role will involve collaborating with cross-functional teams, implementing best practices, and ensuring the delivery of robust and scalable solutions.

Responsibilities:

• Develop, test, and maintain high-quality Python code for our software projects.
• Design and implement microservices architecture for scalable and efficient applications.
• Collaborate with cross-functional teams, including product managers, designers, and other developers, to understand requirements and deliver optimal solutions.
• Participate in code reviews to ensure adherence to coding standards and best practices.
• Identify and resolve technical challenges and performance issues.
• Optimize existing code and improve system performance.
• Contribute to architectural discussions and propose innovative solutions.
• Stay up-to-date with the latest trends and technologies in Python development and microservices.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• 2+ years of professional experience as a Python developer, with a focus on building robust and scalable applications.
• Strong understanding of microservices architecture and experience working with related technologies (e.g., Docker, AWS, service discovery,Jenkins).
• Solid knowledge of Python frameworks (e.g. Django) and libraries commonly used in microservices development.
• Experience in developing RESTful APIs and working with third-party API integrations.
• Proficiency in database systems, such as MySQL or MongoDB.
• Familiarity with code versioning tools (e.g., Git) and CI/CD pipelines.
• Strong problem-solving skills and ability to handle complex technical challenges.
• Ability to write clean, maintainable, and testable code following best practices.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Preferred Qualifications:

• Experience with cloud platforms (e.g., AWS).
• Knowledge of message queue systems (e.g., RabbitMQ, Kafka, SQS).
• Familiarity with tools (e.g., Airflow, ELK).
• Previous experience in mentoring and providing technical guidance to junior developers.
• Contributions to open-source projects or active participation in developer communities.

Primary Skills: Database Systems (SQL), Python Flask/Fast API/Django frameworks specifically
Requirements:

• Highly proficient in fundamentals of Python web development frameworks like Flask, Django and Fast API
• Demonstrated experience in developing APIs using Python frameworks
• Should have deep knowledge in PostgreSQL, MS SQL Server and other SQL based Databases

We are seeking a skilled Node.js + Python Developer to join our team. The successful candidate will be responsible for developing and maintaining web applications using Node.js and Python. The ideal candidate will have a strong understanding of both Node.js and Python, as well as web application development. Responsibilities:

Developing and maintaining web applications using Node.js and Python

Write clean and efficient code that adheres to Node.js and Python coding standards

Collaborate with other developers and team members to design and implement new features

Troubleshoot and debug issues in existing code

Create and maintain technical documentation

Requirements:

Strong knowledge of Node.js and Python

Familiarity with front-end technologies such as HTML, CSS, and JavaScript

Experience with MySQL/Mongo and database design

Good understanding of object-oriented programming and design patterns

Strong problem-solving skills and attention to detail

Good communication skills and ability to work in a team environment

Preferred Qualifications:

Experience with popular Node.js frameworks such as Express or Koa

Experience with OpenAi APIs

Knowledge of machine learning and data science libraries in Python such as TensorFlow, Scikit-learn, and Pandas

Experience with RESTful API development

Experience with payment gateway integrations

Good knowledge and experience of working with backend systems; 

designing server-side architecture, including production maintenance experience are must-haves.

At least 1-2 years of experience in any programming languages like Java, Ruby, PHP, Python and Node.js(Node.js preferred).

Understanding of micro-services oriented architecture.

Experience with Databases design (SQL, NoSQL) and analytics

Experience in driving and delivering complex features/software modules from technical design to launch.

Expertise with unit testing & Test Driven Development (TDD)