Posted 2 months ago
Application Developer – Sr Python Engineer
@ BeachHead
Toronto, Ontario
Overview
BeachHead is hiring a Senior Python Engineer on a contract basis for one of its top financial clients. The role designs, builds and maintains scalable, secure Python microservices and APIs, and modernizes data engineering processes across Azure-based platforms. The posting requires over 10 years of software engineering experience, with Python expertise.
Responsibilities:
- Design, develop and maintain secure Python microservices and APIs
- Build data engineering solutions on Azure Databricks and Data Factory
- Create reusable frameworks and automation patterns
- Collaborate with business, security and platform teams
- Troubleshoot issues, tune performance and support releases
Requirements summary:
- Over 10 years of software engineering experience
- Strong Python development expertise
- Experience with REST/gRPC, Docker, Kubernetes, Redis and Kafka
- Experience with PySpark, Databricks, Delta Lake and Airflow
- Skilled in secure enterprise solutions with testing and monitoring
Tools & skills
Source and dates
Source type not verified · jsonld
- Employer posting date
- 2026-08-24
- First seen by our source
- 2026-10-16
- Source record updated
- 2026-10-23
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Experience | 10+ years |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
BeachHead
| Field | Value |
|---|---|
| Open jobs on Jobsy | 100 |
Are you a seasoned Python Engineer ready to build scalable microservices and modern data solutions? Apply Now!
Working with one of our top financial clients, this role calls for an Application Developer – Sr Python Engineer. This position involves designing, developing, and maintaining scalable, secure Python microservices and APIs to support critical business platforms. The successful candidate will also modernize data engineering processes, work collaboratively across teams, and ensure operational excellence in a fast-paced enterprise environment.
Responsibilities
- Design, develop, and maintain secure Python microservices and APIs using FastAPI, REST/gRPC, Docker, Kubernetes, Redis, and Kafka.
- Deliver a variety of APIs including internal platform, data ingestion, event-driven, batch processing, and authentication/authorization APIs.
- Build and optimize data solutions with Python, PySpark, Azure Databricks, Delta Lake, ADLS, Azure Data Factory, Airflow, Azure SQL, and SQL.
- Create reusable frameworks, automation patterns, and documentation to improve delivery quality, reliability, and maintainability.
- Collaborate with technology, business, security, and platform teams to translate complex requirements into practical, production-ready solutions.
- Troubleshoot issues, tune performance, support releases, and contribute to monitoring, knowledge transfer, and production readiness activities.
Desired Skill-Set
- Over 10 years of software engineering experience with strong expertise in Python development.
- Proven experience designing and delivering Python-based microservices, APIs, and platform capabilities.
- Skilled in REST/gRPC, Docker, Kubernetes, Redis, Kafka, and related technologies.
- Extensive experience building data engineering solutions with Python, PySpark, Azure Databricks, Delta Lake, ADLS, Azure Data Factory, Airflow, and SQL.
- Adept at delivering secure, enterprise-standard solutions including authentication, authorization, testing, and monitoring.
- Excellent collaboration and communication skills, with the ability to work effectively across teams.
Nice to Have
- Experience designing scalable data pipelines for high-volume enterprise workloads.
- Building reusable internal frameworks, shared services, or internal developer platforms.
- Use of AI-assisted engineering tools to enhance development, testing, or documentation processes.
- Knowledge of cloud-native architecture, automation, or DevOps practices.
BeachHead is an equal opportunity agency and employer. We advocate for our candidates and welcome applicants regardless of race, color, religion, national origin, sex, age, or physical or mental disability. BeachHead or our clients may use technology-enabled tools, including automation and artificial intelligence (AI), to support parts of the recruitment process such as resume screening, application management, and candidate matching. These tools assist our recruiters and our clients, and do not replace human decision-making. This job posting represents a current or anticipated vacancy. The position may be filled at any time, and the posting may be removed without notice once the role has been filled.
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