Top Python Jobs in Hartford, CT

Design, develop, deploy, monitor, and support APIs and system integrations (Salesforce, REST, third-party). Work directly with clients to gather requirements, troubleshoot and optimize integrations, operate solutions in AWS, collaborate with teams, and mentor junior developers.

Build and ship full‑stack features for transportation management and other client products. Design and implement APIs and UIs, collaborate with product and design, own delivery, write modular testable code, troubleshoot and iterate quickly, and mentor peers.

Develop and maintain Python applications focusing on iterators/generators/streams, concurrency (multithreading, non-blocking I/O), and high-precision numeric handling. Work with JSON/XML, REST and SOAP APIs, ACID-compliant databases, message brokers/queues, and produce clean, SOLID code. Unit and integration testing experience is beneficial.

The Forward Deployed Engineer will serve as a technical bridge between clients and engineering teams, writing custom code and integrations, while ensuring customer success with Socket's security platform through strong relationships and expert technical guidance.

Design, develop, and maintain scalable Python applications and cloud-native solutions. Architect microservices, containerized deployments (Docker/Kubernetes), optimize cloud infrastructure, build CI/CD pipelines, integrate messaging systems, ensure security and high code quality, and mentor junior developers. Generative AI/ML experience is a plus.

As a Software Engineer III, you will design, develop, and maintain high-quality software solutions, collaborating with cross-functional teams to ensure scalability and performance.

The Senior Software Engineer will build a large-scale data ingestion and classification system using web scraping, data processing, and search technologies, overseeing data extraction from various sources and developing search capabilities.

Build and maintain API services for a decentralized exchange, design and implement trade routing logic for optimized cross-chain swaps, integrate features with cross-functional teams, monitor system performance and reliability, and troubleshoot trade execution and API issues.

Develop and maintain backend solutions, ensuring performance, security, and regulatory compliance, while collaborating in cross-functional teams.

Design and build applications using Python, manage component design, optimize performance, and collaborate with clients on innovative products.

Design and evaluate performance engineering tasks for AI training/evaluation. Optimize runtime, compilers, memory, CPU/GPU and concurrency. Produce documented solutions, evaluate AI-generated code, and build evaluation frameworks and scoring rubrics while collaborating with researchers and SMEs.

The Senior Full Stack Developer will design, develop, test, and debug software solutions, collaborating with teams and optimizing applications. Responsibilities include user interaction design, back-end functionality, and ensuring software scalability and security.

We are seeking a software engineer to build and validate resilient distributed systems, enhance CI pipelines, and improve testing strategies for cloud applications.

The Backend Software Engineer will develop and maintain backend systems for data processing related to coffee farming, utilizing Python and PostgreSQL. Responsibilities include feature development, problem-solving, and adapting systems to regulatory changes while ensuring system resilience.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.

Develop, test, and maintain a complex distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements. Work with distributed workloads (Spark/Hadoop), SQL/Snowflake, AWS, shell scripting, and job scheduling/process automation. Support delivery under Agile/SAFe practices and ensure alignment with program standards.

Lead development of Python-based web applications using Django and FastAPI, architect scalable solutions, and establish technical standards while mentoring developers and optimizing infrastructure.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

Develop, test, and release improvements to Ubuntu on public clouds, ensuring quality and stability, while collaborating with a global team.

The Python Engineer will write maintainable Python software, lead technical initiatives, collaborate globally, and contribute to community engagement at Canonical.

The role involves designing and delivering open source software operations code in Python, ensuring system reliability, and collaborating with teams across the Linux stack.

The Senior Software Engineer will develop features, maintain quality, review code, and collaborate on product design for the EnrollWise platform, focusing on back-end and some front-end work.

Develop and enhance features for EnrollWise, contribute to a scalable software architecture, review code, collaborate on design and technical feasibility, and maintain software quality.

Lead design, build, and operate scalable backend services and carrier integrations. Provide technical leadership, mentor engineers, drive architecture and best practices, write and test code, troubleshoot production incidents, and improve monitoring and reliability while collaborating with product and cross-functional teams.

Build and maintain internal Python platform libraries and tooling to improve developer experience. Drive runtime, dependency, testing, delivery, monitoring, and performance optimization for Python services (including GPU-enabled workloads). Collaborate cross-functionally to define an opinionated SDLC, support on-call rotations, and balance modern practices with risk-aware change. Enable scalable, low-latency distributed systems and provide AI/ML-facing platform capabilities.