Senior Python Developer - Operate

Job Type:  Temporary Contract  
Work Model:  Hybrid  
Reference code: 132996
Primary Location:  Toronto, ON
All Available Locations:  Toronto, ON

 

Our Purpose

 

At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians.

By living our Purpose, we will make an impact that matters.

• Have many careers in one Firm.
• Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness.
• Learn from deep subject matter experts through mentoring and on the job coaching

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We are seeking a strong Python developer on a 1 -year fixed term role , with practical experience building applications that leverage large language models (LLMs). The ideal candidate has deep expertise in Python software engineering, APIs, data structures, and testing, and has contributed to at least one production or pilot use case involving LLMs (e.g., retrieval-augmented generation, summarization, classification, or code assistants). You will design, build, and optimize backend services and ML/LLM integrations with a focus on reliability, security, and measurable business impact.

What will your typical day look like?

• Design, develop, and maintain Python services, libraries, and APIs for data processing and application backends.
• Build and integrate LLM-driven features (prompting, context construction, chaining/orchestration, evaluation).
• Implement retrieval-augmented generation (RAG) pipelines, including document ingestion, chunking, embeddings, and vector search.
• Develop robust unit/integration tests; contribute to CI/CD pipelines and observability (logging, metrics, tracing).
• Optimize performance and cost of LLM workloads (token usage, latency, caching, batching, model selection).
• Ensure data privacy and security best practices, including PII handling, guardrails, and governance.
• Collaborate cross-functionally with product managers, data engineers, designers, and security to ship production-quality features.
• Document designs, decisions, and operational runbooks; mentor peers and review code.
• Monitor and troubleshoot production issues; drive continuous improvement and post-incident learnings.

About the team

This is your opportunity to work in Operate at Deloitte. Operate services harness the latest technologies, talent, and capabilities from all over the world to deliver ongoing outcomes and client value. We do more than traditional business process outsourcing. We do more than just “keeping the lights on.” We work shoulder-to-shoulder with clients and their customers, constantly adapting to the pace of change, to ideate, innovate, and embed continuous advantage at the heart of their operations. And we do it with the kind of drive and passion that comes from loving what you do—and who you do it with.

Enough about us, let’s talk about you

You are someone with these skills, experience and qualifications:

• Has 5+ years of professional experience building production-grade Python services and APIs
• Is fluent with Python fundamentals: asynchronous programming (asyncio), typing, packaging, dependency management, and performance profiling
• Builds reliable backends with FastAPI/Flask, REST/gRPC, and clean architecture patterns; comfortable with SQLAlchemy/ORMs and data modeling
• Writes high-quality, tested code: pytest, fixtures/mocking, linting/formatting, type checking, and code reviews; integrates with CI/CD
• Works confidently with Docker/containers, Git, and observability (structured logging, metrics, tracing) to support production operations
• Understands databases and messaging: Postgres/MySQL, Redis, and event/queue systems (e.g., Kafka/SQS)
• Applies security-first practices: secrets management, least-privilege access, input validation, secure coding, encryption at rest/in transit, and PII handling
• Communicates clearly, documents decisions, and collaborates effectively with product, security, risk, and compliance stakeholders

 

It would be great for you to have some of these nice to haves as well:

• Practical GenAI/LLM experience: integrating hosted LLM APIs (e.g., Azure OpenAI, OpenAI, Anthropic), prompt design, and token/cost management
• Retrieval-augmented generation (RAG): embeddings, chunking strategies, vector search (FAISS, pgvector, Pinecone), and orchestration frameworks (LangChain, LlamaIndex) or custom pipelines
• LLM application quality and safety: prompt/version management, evaluation frameworks (automatic and human-in-the-loop), guardrails, red-teaming, and safe output handling
• Optimization and reliability: latency and throughput tuning, caching/semantic caching, batching, function/tool calling, and fallback/model routing patterns
• Model customization: fine-tuning or parameter-efficient tuning (LoRA/QLoRA), adapter-based approaches, and model selection trade-offs (quality, latency, cost, compliance)
• Multimodal familiarity: using models that handle text with images or structured data where relevant to use cases
• Observability for GenAI: tracing, token/latency metrics, cost dashboards, and incident response for LLM-enabled services
• Cloud and platform experience (Azure/AWS/GCP), Kubernetes or serverless, infrastructure as code, and governance considerations for regulated environments (banking/financial services)

Total Rewards

The salary range for this position is $72,000 - $138,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure.

 

Our promise to our people: Deloitte is where potential comes to life.

 

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute.

Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors.

The next step is yours

 

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action Plan ,  Reconciliation Action Plan and the  BlackNorth Initiative .

 

We encourage you to connect with us at  View email address on careers.deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or  View email address on careers.deloitte.ca for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

 

When you apply, we will review your application using Deloitte's Global Talent Standards to ensure a consistent recruitment experience. Our recruitment advisors and hiring teams will utilize human screening combined with AI technology to help identify the skills and qualities that matter most to our business, while safeguarding your privacy and using AI responsibly.

Deloitte Canada has 20 offices with representation across most of the country. We acknowledge that Deloitte offices stand on traditional, treaty, and unceded territories in what is now known as Canada. We recognize that Indigenous Peoples have been the caretakers of this land since time immemorial, nurturing its resources and preserving its natural beauty. We acknowledge this land is still home to many First Nations, Inuit, and Métis Peoples, who continue to maintain their deep connection to the land and its sacred teachings. We humbly acknowledge that we are all Treaty people, and we commit to fostering a relationship of respect, collaboration, and stewardship with Indigenous communities in our shared goal of reconciliation and environmental sustainability.