Вакансии Python Developer

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Role Overview:

We are looking for a Senior Test Automation Engineer to establish and lead our QA practice from the ground up. As the first dedicated QA professional in our company, you will design and implement testing strategies across all client-facing deliverables, covering Applications, Data, and AI. This role requires hands-on experience in testing UI, data pipelines, cloud infrastructure, and integrated systems while working with both manual and automated tests. Our tech stack includes Python (Pandas, NumPy), SQL, Postgres, Elasticsearch, AWS, RAG pipelines, and Vector DBs.

Responsibilities:

• Define and implement QA processes, standards, and best practices from scratch.
• Develop and execute manual and automated tests for the application, APIs, databases, and AI-driven solutions.
• Design and maintain test automation frameworks using Python.
• Collaborate with developers and stakeholders to ensure test coverage aligns with business needs.
• Perform exploratory testing and manual validation when necessary.
• Monitor test execution, analyze results, and improve system reliability.
• Advocate for QA best practices and mentor engineers on testing strategies.

Requirements:

• 5+ years of experience in test automation and manual testing, with a proven track record of setting up QA processes.
• Strong hands-on experience testing web applications, APIs, databases, cloud platforms, and AI-driven systems.
• Proficiency in Python for test automation, scripting, and framework development.
• Experience with test automation frameworks and API testing tools.
• Strong knowledge of SQL, Postgres, and data validation testing.
• Experience working with AWS-based infrastructure.
• Ability to work in a fast-paced environment and build testing processes from scratch.

Nice to Have:

• Experience with BA responsibilities, including requirements gathering.
• Product mindset – ability to understand user needs and business goals to ensure high-quality product delivery.

We are looking for Senior Python developers. Your mission will be part of the exciting environment and creating new features for the product.

Your future responsibilities:

• Build new features in collaboration with the product team;
• Create new software and application;
• Write reusable, testable, and efficient code;
• Contribute to architecture decisions and communicate openly with other engineers;
• Work collaboratively with a highly talented development team.

Requirements:

• 4+ years of experience with Python (Django, Celery);
• 2+ years of experience with AWS;
• Strong knowledge of DB (PostgreSQL, MySQL);
• Ability to work with distributed systems/databases;
• Experience with building a high-load environment;
• Ability to clearly communicate task statuses and schedules;
• English - no less than upper-intermediate;
• The desire to develop and learn new technologies;
• Natural curiosity - you enjoy digging deeper to find the big picture;
• Humility - you’re able to contribute to the team, ego aside;
• Enthusiasm about helping others, especially team members.

Are you looking for a challenging yet rewarding project that will leverage the best of your decision-making and engineering excellence?
At DIAL we strive to maintain a delicate balance between the constantly evolving LLM landscape, the demands and scales of enterprise customers, and the restrictions that come with developing an open-source multimodal LLM and Application Orchestration platform under the Apache 2 license, all while ensuring ease of use and deployment and constantly delivering new features.
Using DIAL as a foundation, we build a variety of practical solutions that can be customized for specific needs, such as StatGPT, a talk-to-your-data platform adopted by the International Monetary Fund and World-Bank. Imagine a future where accessing and understanding complex datasets is as easy as asking a question. With Project StatGPT, that future is now. We're on a mission to democratize data access through the power of Large Language Models (LLMs) based on Natural Language Processing (NLP). StatGPT is designed to bridge the gap between vast data repositories and the business people who need insights from them, using intuitive, conversational interfaces.

Your role:

We see candidate for this position as a mix of a mathematician, algorithm specialist, analyst, and programmer, capable of developing domain expertise and implementing production-ready solutions in most scientifically challenging areas. All the above by either doing comprehensive research or discovering an efficient way of implementing ideas obtained by the research, analytics, or scientific articles.
Here we provide a list of skills and technologies we are interested in. See for yourself, whether any of them are in your scope of expertise or interest. You do not have to master all of them. Tell us what your strong side is and we will find the right task for you. We value the thrive for knowledge and self-development within our team.

Responsibilities

• Design, develop, and maintain core functionalities using Python
• Collaborate with cross-functional teams to define, design, and ship new features
• Ensure the performance, quality, and responsiveness of applications
• Identify and correct bottlenecks and fix bugs
• Help maintain code quality, organization, and automation
• Conduct system and test engineering activities as required

Requirements

• Strong knowledge in common Computer Science and Programming Languages theory
• Good Knowledge of Python
• Understanding of requirements developments. Desire and ability to understand how things work in a specific domain
• Advanced algorithms and data structures

Nice to have

• Knowledge of python libs: Pandas, SciPy, Sklearn, PyTorch, TensorFlow, FastAPI, Streamlit, asyncio and others
• Experience with OpenAI / Langchain / llamaindex / other LLMs - related things
• Experience in Java / C++ / C#
• Experience with Data analytics
• Math, Statistics, Machine learning

Responsibilities:

• Development and improvement of software products of both back and front-end parts of tasks.
• Promotion of new functional capabilities and upgrading of essential additions.
• Use of best practices for software development and testing, compliance with technical standards, and code quality requirements adopted by the project.

Key Requirements:

• Bachelor’s or Master’s degree in Computer Science;
• We are looking for Full-Stack Python + JS/React development, ready to implement the entire cycle of tasks: both back and front-end;
• Commercial experience in development using the Python programming language;
• Experience with MySQL/PostgreSQL/MongoDB or other databases;
• Experience with hosting Git repositories (GitHub, GitLab, Bitbucket);
• English – Intermediate level and above;
• Strong understanding of object-oriented programming and software development principles.

Will be a plus:

• Experience with Docker;
• Experience with Cloud technologies, Amazon Web Services (AWS), and Google Drive API;
• Experience working with programming languages (PHP, JS, Java, C/C++, C #).

We are looking for a talented and motivated Full-Stack Python/Django Engineer to join our team and contribute to the enhancement of an existing system. This role offers the chance to work on an innovative platform designed to support renewable energy integration at the utility level.
You will play a key role in expanding the platform’s capabilities, optimizing its architecture, and developing robust API integrations with third-party systems to increase its functionality and scalability.

Key Responsibilities:

• Design, develop, and maintain code for the Django-based application;
• Build and optimize integrations with third-party CRMs, billing systems, and field devices (e.g., batteries, inverters, EV chargers) for seamless operations;
• Collaborate on modularizing the codebase to enhance scalability, flexibility, and ease of integration;
• Implement new features, such as support for multiple resources per VEN (using the openADR communication protocol), while improving existing functionality;
• Work closely with product managers, DevOps, and engineers to create scalable and maintainable solutions;
• Write unit tests and uphold high standards of software quality and performance;
• Develop clear, concise documentation for system features, API integrations, and architectural decisions.

Required Skills & Qualifications:

• Strong proficiency in Python and Django, with 3+ years of full-stack development experience;
• Solid understanding of RESTful APIs, third-party integrations, and communication protocols (e.g., openADR);
• Hands-on experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Vue.js;
• Proven expertise in modularizing monolithic applications or transitioning to microservices, when required;
• Knowledge of scalable system design and integration strategies;
• Experience with version control systems (e.g., Git) and CI/CD pipelines;
• Familiarity with Docker, Kubernetes, or similar containerization tools is a plus;
• Knowledge of cloud platforms (e.g., AWS, Azure, GCP) is a bonus.

Preferred Qualifications:

• Familiarity with Distributed Energy Resources (DERs) and energy management systems;
• Understanding of renewable energy technologies such as batteries, solar, and wind systems.

Currently, PandaDoc is seeking a Senior Python Engineer to join our Application Platform Track.
In this team, we are tackling the challenge of breaking down a large, monolithic application into a set of well-defined, scalable services. Our goal is to improve overall system reliability, streamline the release process, and establish clear code ownership. We own several mission-critical domain services and are responsible for making them robust, efficient, and easy to integrate. By driving this transformation, we enable our product, business operations, finance, and customer success teams to work with high-performance, stable service solutions that scale with our company’s growth.

In this role, you will:

• Participate in the whole development process from backlog refinement and testing to launching product features and technical improvements;
• Build and maintain application architecture;
• Actively collaborate with product managers and scrum masters;
• Follow and contribute to agile development processes (Scrum framework).

Our stack:

• Service-oriented architecture but be prepared to deal with legacy code as well as monolithic services based on the Django framework;
• Two main stacks: Python and Java:
  • Python services are mostly written using AsyncIO frameworks and libraries, but we also have Django-based services and a lot of Celery workloads;
  • Java services based on Spring Boot with custom extensions, Java 11, and Gradle as a build tool;
• AWS and K8S are used extensively for provisioning and deploying workloads;
• The main cross-service communication transports are NATS, Kafka, and RabbitMQ;
• Grafana stack for monitoring, alerting, and distributed tracing

About you:

• At least 5+ years of development experience with Python;
• Experience with the Django framework;
• Experience with any relational databases (SQL queries, migrations, optimization);
• Experience with Java and readiness to write in Java occasionally;
• Experience with message queues (e.g., RabbitMQ, NATS, Kafka);
• Care about quality and you know what it means to ship high-quality code;
• Able to put yourself in the shoes of your users and be a steward of crafting great experiences;
• English: intermediate+ (verbal and written).

PandaDoc is seeking a Senior Python Engineer to join our Technology Hub.
At PandaDoc, we have product teams concentrating on shipping new features and a purely technical track focusing on platform engineering. The Platform teams create the technology that enables PandaDoc to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe.
This role is based on the Dev Experience team, which is focused on enabling product teams to streamline development and delivery processes. Join us and help to amplify productivity, quality, and innovation across PandaDoc.

In this role, you will:

• Build software, frameworks, and tools required for reliable operations of PandaDoc services:
• Design and improve how PandaDoc services communicate using gRPC (and service meshes), Temporal.io, and Kafka by providing libraries and guidance for engineers.
• Work closely with Kubernetes. We run on top of AWS EKS. We have five main clusters with more than 200 services in each of different sizes, written mainly in Python (~70%) and Java.
• Improve how PandaDoc services are deployed (including machinery for canary and blue-green deployments) and monitored across all our clusters.
• Improve our observability as both a developer/maintainer of systems/frameworks and a mentor to our product development teams.
• Collaborate with other engineers on the team and cross-functionally to foster solid engineering principles and represent our engineering values.
• Be a change agent by recommending and introducing best practices for all PandaDoc engineers.
• Be an innovation advocate for the technical growth of PandaDoc.
• Share knowledge by writing documentation and holding talks and workshops.

Our stack:

• Service-oriented architecture, but be prepared to deal with legacy code and monolithic services based on the Django framework.
• Two main stacks: Python and Java:
  • Python services are primarily written using AsyncIO frameworks and libraries, but we also have Django-based services and a lot of Celery workloads;
  • Java services based on Spring Boot with custom extensions, Java 11, and Gradle as a build tool;
• AWS and K8S are used extensively for provisioning and deploying workloads.
• The main cross-service communication transports:
  • NATS is our main RPC transport, but we’re migrating to gRPC to eliminate the single point of failure with NATS.
  • Kafka and Debezium for even-based operations.
  • RabbitMQ is a transport for Celery, but we look forward to migrating to Temporal.io.
• Grafana stack for monitoring, alerting, and distributed tracing

About you:

• At least 5+ years of development experience with Python.
• Care about quality; you know what shipping high-quality code means.
• Strong understanding and experience in AsyncIO.
• Experience with the Django framework.
• Experience with any relational databases (SQL queries, migrations, optimization);
• Experience with message queues (e.g., RabbitMQ, NATS, Kafka).
• Experience with Amazon Web Services and Kubernetes.
• Hands-on experience in developing a service-oriented architecture.
• Hands-on experience with CI/CD (e.g., GitLab, Jenkins).
• It is good to have experience with the Grafana LGTM stack and OpenTelemetry.
• It is good to have open-source contributions and experience.
• It is good to have basic knowledge of Golang.
• English: intermediate+ (verbal and written).

As a Python Developer, you will write reusable, testable, and efficient code that drives our low-latency, high-availability, and performant applications. Your main tasks will include designing and implementing robust application frameworks, integrating user-facing elements with server-side logic, and ensuring top-level security and data protection.

What you’ll be doing

• Design and develop scalable backend systems and APIs.
• Build and maintain both microservices and monolithic architectures.
• Work with PostgreSQL, MySQL, MongoDB, and NoSQL solutions.
• Integrate with cloud platforms (GCP/AWS) for deployment and storage solutions.
• Develop, maintain, and improve RESTful APIs using frameworks like Django and FastAPI.
• Write unit and integration tests to ensure the reliability and stability of applications.
• Implement authentication mechanisms and API gateways.
• Work on integrating and implementing observability and monitoring tools to track application performance.
• Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions.
• Maintain and enhance the performance of production systems.

What You’ll Need:

• Strong experience with backend development, particularly in Python.
• Proficiency in web frameworks such as Django and FastAPI.
• Familiarity with cloud platforms, specifically GCP or AWS.
• Hands-on experience with databases like PostgreSQL, MySQL, MongoDB, and others.
• Understanding of designing and implementing RESTful APIs.
• Knowledge of microservices architecture and experience working in both monolithic and microservices environments.
• Strong understanding of system design principles, including scaling, caching, and database partitioning.
• Proficiency in API Gateways, authentication mechanisms, and security best practices.
• Familiarity with monitoring and observability practices using tools like Prometheus, Grafana, or similar tools.
• Solid knowledge of unit testing, integration testing, and test-driven development (TDD).
• Strong communication skills, ability to work in an agile environment, and ability to collaborate with teams effectively.
• Experience with version control tools like Git.

Bonus Points If You Have:

• Experience with containerization and orchestration tools such as Docker and Kubernetes.
• Familiarity with CI/CD pipelines and automated deployment processes.
• Experience with event-driven architecture and messaging queues like RabbitMQ or Kafka.
• Experience with AWS.

We're looking for people with strong computer science fundamentals and an entrepreneurial edge to take on challenging software engineering assignments. As part of a dedicated product team, you'll turn architecture diagrams into scalable software components that are able to process high data loads and serve millions of users. We don't expect any 1 individual to tick all of the boxes below, nor do we expect an explicit number of years of experience. We do expect you to be curious and learn fast.

Technical knowhow:
We expect all software engineers in our team to take on a broad set of responsibilities, always acting in the interest of the product rather than simply sticking to the boundaries of any specific domain.

Core knowledge and abilities:

• Infrastructure: hands-on experience with GCP, AWS or Azure, grasping serverless principles and practices;
• Architecture: ability to contribute to designing cloud diagrams and weighing the pros and cons of key decisions;
• Programming frameworks: deep knowledge of at least one of the following: Python (Django), .NET, PHP (Symfony), JS/TS (Node), REST;
• Databases: extensive SQL experience and core understanding of various database types and their limitations;
• Data modelling: turning defined business logic into comprehensible data structures;
• CI/CD pipelines: setting up and managing deployment pipelines;
• genAI services: you have a particular interest in the space of LLMs and genAI (cloud) services more broadly.

Non-functionals:

• Automated testing: test-driven development using unit and integration tests as well as end-to-end tests;
• Monitoring: error and performance monitoring with Sentry or similar services;
• Stress testing: testing APIs and entire systems with heavy-load scenarios;
• Security: you're aware of best practices to safeguard information security.

Additional:

• Language: solid reading and speaking skills in English required;
• Thought leadership: you love to share your learnings with your peers;
• Front-end: you know your way around a modern front-end application;
• Information security: a basic understanding of security standards.