Synechron
We are
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechrons progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.
Our challenge We are seeking a highly skilled Senior Python Developer to design and build high-performance backend systems, intelligent services, and AI-powered platform features. You will work closely with data scientists, platform engineers, and product teams to develop services that power analytics, workflow automation, and agentic AI applications. This role is ideal for developers who excel in Python craftsmanship, distributed systems, API design, and modern AI integration patterns.
Key Responsibilities Backend Engineering Architect, develop, and maintain scalable Python services and microservices. Build REST and/or GraphQL APIs that interface with internal and external systems. Design reusable modules, libraries, and frameworks used across engineering teams. Ensure high performance, reliability, and fault-tolerance in production systems.
AI-Enabled Platform Development (Optional if relevant to your org
included because your architecture uses agents, RAG, LangGraph) Integrate backend services with LLM tools, inference endpoints, or retrieval systems. Build Python modules for: Vector database queries Hybrid retrieval logic Document processing pipelines Model orchestration Optimize pipelines for latency, throughput, and cost efficiency.
Agentic Systems & Automation (LangGraph / MCP optional) Build Python-based agent workflows using LangGraph for state-driven orchestration. Develop MCP tools to securely expose enterprise functionality to LLM agents. Design safe, observable, and governable tool-calling interfaces. Work with data scientists to productionize agent capabilities in real workflows.
Data Engineering & Integration Design robust integrations with SQL/NoSQL databases, event streams, message queues. Build data ingestion and transformation services (ETL/ELT). Implement caching, rate-limiting, and retry logic for API-intensive workloads. Manage secrets, credentials, and secure transport of sensitive data.
DevOps & Quality Write comprehensive unit, integration, and load tests. Participate in code reviews to uphold engineering excellence. Improve observability through metrics, logging, and distributed tracing. Automate CI/CD pipelines using tools like GitHub Actions, Jenkins, GitLab CI, or Argo.
Required Skills & Experience 6+ years of hands-on Python development experience. Expertise with: FastAPI, Flask, or Django, AsyncIO, concurrency models, multiprocessing SQLAlchemy or ORM frameworks. Strong understanding of software architecture and system design. Experience designing and consuming REST APIs, WebSockets, or event-driven systems. Proficiency with SQL databases and at least one NoSQL or vector/graph store. Experience working with distributed systems, microservices, or containerized environments (Docker/Kubernetes).
Preferred Qualifications AI & Agent Systems Experience integrating Python services with LLM APIs (OpenAI, Anthropic, local models). Familiarity with RAG, embeddings, retrieval pipelines. Experience with agent orchestration frameworks like LangGraph, CrewAI, or MCP tooling. Data & Infrastructure Experience with: Kafka / PubSub / RabbitMQ Redis / Memcached Airflow or Prefect Snowflake, Databricks, or Spark Strong background in performance tuning and profiling. Soft Skills Ownership mindset with attention to quality and scalability. Effective communicator able to collaborate across cross-functional teams. Strong debugging, problem-solving, and analytical thinking.
We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the worlds leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture
promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Our challenge We are seeking a highly skilled Senior Python Developer to design and build high-performance backend systems, intelligent services, and AI-powered platform features. You will work closely with data scientists, platform engineers, and product teams to develop services that power analytics, workflow automation, and agentic AI applications. This role is ideal for developers who excel in Python craftsmanship, distributed systems, API design, and modern AI integration patterns.
Key Responsibilities Backend Engineering Architect, develop, and maintain scalable Python services and microservices. Build REST and/or GraphQL APIs that interface with internal and external systems. Design reusable modules, libraries, and frameworks used across engineering teams. Ensure high performance, reliability, and fault-tolerance in production systems.
AI-Enabled Platform Development (Optional if relevant to your org
included because your architecture uses agents, RAG, LangGraph) Integrate backend services with LLM tools, inference endpoints, or retrieval systems. Build Python modules for: Vector database queries Hybrid retrieval logic Document processing pipelines Model orchestration Optimize pipelines for latency, throughput, and cost efficiency.
Agentic Systems & Automation (LangGraph / MCP optional) Build Python-based agent workflows using LangGraph for state-driven orchestration. Develop MCP tools to securely expose enterprise functionality to LLM agents. Design safe, observable, and governable tool-calling interfaces. Work with data scientists to productionize agent capabilities in real workflows.
Data Engineering & Integration Design robust integrations with SQL/NoSQL databases, event streams, message queues. Build data ingestion and transformation services (ETL/ELT). Implement caching, rate-limiting, and retry logic for API-intensive workloads. Manage secrets, credentials, and secure transport of sensitive data.
DevOps & Quality Write comprehensive unit, integration, and load tests. Participate in code reviews to uphold engineering excellence. Improve observability through metrics, logging, and distributed tracing. Automate CI/CD pipelines using tools like GitHub Actions, Jenkins, GitLab CI, or Argo.
Required Skills & Experience 6+ years of hands-on Python development experience. Expertise with: FastAPI, Flask, or Django, AsyncIO, concurrency models, multiprocessing SQLAlchemy or ORM frameworks. Strong understanding of software architecture and system design. Experience designing and consuming REST APIs, WebSockets, or event-driven systems. Proficiency with SQL databases and at least one NoSQL or vector/graph store. Experience working with distributed systems, microservices, or containerized environments (Docker/Kubernetes).
Preferred Qualifications AI & Agent Systems Experience integrating Python services with LLM APIs (OpenAI, Anthropic, local models). Familiarity with RAG, embeddings, retrieval pipelines. Experience with agent orchestration frameworks like LangGraph, CrewAI, or MCP tooling. Data & Infrastructure Experience with: Kafka / PubSub / RabbitMQ Redis / Memcached Airflow or Prefect Snowflake, Databricks, or Spark Strong background in performance tuning and profiling. Soft Skills Ownership mindset with attention to quality and scalability. Effective communicator able to collaborate across cross-functional teams. Strong debugging, problem-solving, and analytical thinking.
We offer: A highly competitive compensation and benefits package. A multinational organization with 58 offices in 21 countries and the possibility to work abroad. 10 days of paid annual leave (plus sick leave and national holidays). Maternity & paternity leave plans. A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region). Retirement savings plans. A higher education certification policy. Commuter benefits (varies by region). Extensive training opportunities, focused on skills, substantive knowledge, and personal development. On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. Cutting edge projects at the worlds leading tier-one banks, financial institutions and insurance firms. A flat and approachable organization. A truly diverse, fun-loving, and global work culture. S YNECHRONS DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture
promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicants gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.