Jobs in Canada

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Added 1 month ago
AG
Electrical & Controls Project Engineer
Artemis Gold - Blackwater Project
Vancouver, BC
- Other
Ability to maintain high levels of performance over 12-hour shift while on site
Added 1 month ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 month ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 month ago
TS
Software Developer / Analyst
Tangam Systems
Waterloo, ON
- Full-time
Added 1 month ago
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Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
- Full-time
PointClickCare's Marketing organization is hiring a Marketing Data Analytics Engineer to build and maintain the data infrastructure behind marketing analytics and pipeline reporting. This…
Added 1 month ago
MF
SRE/DevOps Engineer
Magnet Forensics
Canada
- Full-time
NOTE: Candidates must reside in The United States or Canada and be located within the Pacific or Mountain Time Zone · Must reside in the United States or Canada & be located within the Pacific or Mountain Time Zone
Added 1 month ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you…
Added 1 month ago
Software Dev Engineer, AFFS - ARS (Amortization Runtime Subledger)
Amazon
Vancouver, BC
…Services (AFFS), where we build mission-critical financial systems powering Amazon's global operations. Our team owns USL (Universal Subledger) and rACE (replayable Amortization Calculation…
Added 1 month ago
AN
Senior Airport Electrical Engineer
Avia NG Airport Consultants
Calgary, AB
- $120,000 to $170,000 CAD / year
- Full-time
- On-site
…currently seeking a client-oriented Senior Airport Electrical Engineer to join our Airfield Electrical Engineering Team. What are the perks? Working with us of course! As awesome as we are,…
Added 1 month ago
K
Senior Software Engineer – DevTest / QA Automation
Kaseya
Toronto, ON
- Full-time
The role requires an engineer who can leverage AI assisted development tools and coding agents to accelerate automation, analyze existing codebases, generate and validate test scenarios,…
Added 1 month ago
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Construction Manager
Actalent
Point Tupper, NS
- $100 to $110 CAD / hour
- Contract
Establish and maintain turnover management processes that support Engineer of Record acceptance and execution of the facility.
Added 1 month ago
W
Principal Process Automation Engineer
Worley
Sarnia, ON
- Full-time
…and digital experts dedicated to solving the world’s critical infrastructure, environmental, energy, and resource…
Added 1 month ago
W
Intermediate Controls Engineer
Worley
AB · Edmonton, AB
- Full-time
…across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating…
Added 1 month ago
MR
Staff Site Reliability Engineer/ Azure
Motion Recruitment
Toronto, ON
- Full-time
As a Staff Site Reliability Engineer, you'll have the opportunity to take real ownership of platform reliability, shape the future of infrastructure strategy, and help build resilient…
Added 1 month ago
M
Senior Software Engineer - Customer Portfolio Enablement
Marqeta
Remote, Canada
- Full-time
- Remote
Marqeta is looking for a talented Senior Software Engineer to deliver resilient and sustainable software projects from design to implementation and rollout. You will execute on defined…
Added 1 month ago
W
Associate Technical Consultant
Worley
Calgary, AB
- Full-time
The Principal Process Automation & Controls Engineer is responsible for providing control system engineering support for industrial facilities and projects. The role requires an…
Added 1 month ago
W
Senior Technical Consultant
Worley
Calgary, AB · Edmonton, AB
- Full-time
…across the project lifecycle, with services extending through to operations and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating…
Added 1 month ago
GC
Engineer / EIT - Apply For Future Opportunities
Glencore Canada
Elkford, BC
- Full-time
…variety of current and future opportunities supporting all EVR operations at any of our EVR sites, contributing to the reliability, safety, and performance of our systems while…
Added 1 month ago
WU
Technical Customer Support 2
West Unified Communications Services (formerly known as InterCall Asia Pacific)
Montreal, QC
- Full-time
Ce poste est hybride avec (2) jours au bureau (7150 Rue Alexander Fleming, Saint Laurent QC)
Added 1 month ago
Senior Product Cybersecurity Engineer - Platform Security
L3Harris Technologies
Montreal, QC
Job Schedule: Day Shift
Added 1 month ago
REM - Rolling Stock TSSSA Engineer
Alstom
Brossard, QC
The schedule is Monday to Friday, with a minimum of four days per week on-site
Added 1 month ago
AW
Instrumentation and Control Engineer
Agilus Work Solutions
Calgary, AB
- Full-time
Are you an experienced Instrumentation & Controls Engineer looking to take ownership of complex industrial projects and provide technical leadership? Join a multidisciplinary engineering…
Added 1 month ago
Engineer, Capital Projects
Trans Mountain
Edmonton, AB
Must have a valid Class 5 driver’s license
Added 1 month ago
IL
Technical Customer Support 2
Intrado Life & Safety, Inc.
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Ce poste est hybride avec (2) jours au bureau (7150 Rue Alexander Fleming, Saint Laurent QC)
Added 1 month ago
L
Senior Yocto Developer Toronto
Litmus
Remote, Canada
- Full-time
- Remote
We’re a growth-stage software company helping manufacturers access, structure, and use real-time data from machines, systems, and sensors at the edge. Our platform sits at the intersection…

Tata Consultancy Services

Forward deployed Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

$100,000 to $120,000 CAD / year · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $100,000 to $120,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Oct 9, 2026

Original job description

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Required skill set

"Skills and Responsibilities

Good years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.

Strong hands-on expertise in Python, PySpark, SQL, REST APIs, FastAPI, and enterprise application integration.

Experience designing and building AI-powered applications using Claude, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, and Agentic AI patterns.

Deep understanding of Data Engineering frameworks, including ETL/ELT, batch and streaming pipelines, data quality, metadata management, lineage, observability, and DataOps practices.

Experience implementing and operationalizing MLOps / LLMOps capabilities including model lifecycle management, CI/CD pipelines, MLflow, monitoring, deployment automation, rollback, and production support.

Strong knowledge of cloud and modern data platforms, including compute, storage, integration, orchestration, security, networking, monitoring, and cost optimization services.

Hands-on experience with Git, Docker, Kubernetes, Airflow, MLflow, CI/CD, and distributed data processing frameworks.

Strong understanding of enterprise security and governance principles, including IAM/RBAC, encryption, secrets management, privacy controls, auditability, compliance, and secure data access.

Ability to translate business requirements into scalable solution designs, define non-functional requirements, estimate effort, and drive production-ready implementation.

Experience working with Banking, Financial Services, or Insurance (BFSI) data environments and familiarity with regulatory, security, privacy, and resilience requirements.

Strong client-facing consulting skills with experience conducting discovery workshops, solution shaping, rapid prototyping, stakeholder communication, and technical presentations.

Bachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.

Preferred certifications in Cloud Platforms, Kubernetes, AI Engineering, MLOps, Data Engineering, Enterprise Architecture, Security, or Program Delivery.

Experience working in a forward-deployed delivery model by embedding with client SMEs, business users, and engineering teams through solution validation, production deployment, adoption, and handover.

Strong hands-on data discovery skills, including profiling unfamiliar client data with Python, pandas, PySpark, and SQL; assessing coverage and quality; and quantifying volumes, distributions, edge cases, and business-process gaps before development.

Ability to rapidly build thin working solutions using real client data and APIs, validate them with users, and iteratively harden them with automated tests, security controls, error handling, observability, and production support procedures.

Experience creating business-relevant evaluation datasets with client SMEs, measuring ML or LLM quality, performing structured error analysis, grouping failures by root cause, and prioritizing improvements across releases.

Demonstrated production ownership after go-live, including monitoring, incident diagnosis, rollback, stabilization, performance and latency troubleshooting, and resolution of user-reported issues.

Ability to measure user adoption and business impact after launch using usage data and agreed KPIs such as time saved, error reduction, straight-through processing, quality improvement, or productivity gains.

Willingness and ability to travel or work onsite with client teams when an engagement requires close collaboration and accelerated delivery.

Roles & Responsibilities

Design, develop, and deploy enterprise-grade AI and data applications using Python, PySpark, Claude, SQL, APIs, and modern cloud-based data platforms.

Engage with business and technology stakeholders to understand business objectives, data landscape, functional requirements, non-functional requirements, and delivery expectations.

Define solution architecture, implementation roadmaps, and technical approaches that align with business goals and operational requirements.

Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.

Develop batch, real-time, and streaming data processing solutions integrating multiple enterprise data sources and downstream applications.

Build and operationalize Claude-powered applications, copilots, and AI workflows using prompt engineering, Retrieval-Augmented Generation (RAG), vector search, and enterprise data integration.

Implement responsible AI practices, including governance, security, privacy, traceability, validation, and human oversight controls.

Design and enforce engineering standards, reusable frameworks, CI/CD practices, infrastructure automation, and production deployment patterns.

Provide technical leadership across solution design, code reviews, architecture reviews, testing, deployment, and production support activities.

Drive platform reliability, performance tuning, observability, incident resolution, and operational excellence across data and AI workloads.

Collaborate closely with architects, data engineers, AI specialists, platform teams, and client stakeholders to deliver production-ready solutions.

Support solutioning, RFP responses, technical demonstrations, effort estimation, and client workshops for new opportunities.

Develop reusable accelerators, reference architectures, implementation playbooks, and engineering best practices to improve delivery efficiency.

Mentor engineering teams and contribute to hiring, capability development, technical assessments, and knowledge-sharing initiatives.

Embed with client SMEs, product owners, and engineers for a defined, time-bound outcome; map the workflow, users, data, constraints, and decision points; and agree on the first useful release and measurable success criteria.

Analyze client data early to assess coverage, quality, volumes, distributions, edge cases, and process feasibility before committing to solution design and build scope.

Build a thin working version quickly on real data and APIs, validate it with business users, and harden it iteratively for security, reliability, maintainability, and production operations.

Create evaluation datasets with client SMEs, perform model and LLM error analysis. and suggest improvements.

Resolve data-access, API, identity, network, security, infrastructure, and deployment blockers in partnership with client data, platform, security, and engineering teams.

Own post-go-live stabilization by monitoring services, diagnosing user-reported failures, latency and cost issues, executing rollback or recovery where required, and shipping fixes.

Measure adoption and realized business impact using usage data and agreed KPIs, and communicate results through concise dashboards, demonstrations, or executive summaries.

Complete structured handover with runbooks, support ownership, knowledge transfer, and reusable components, test documents, and deployment patterns.

Salary Range - CA$ 100,000 - CA$ 120,000 Per Year

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

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More about this job

Responsibilities

Design, build, and deploy production-grade data and AI applications, platforms, and pipelines, including Claude-powered solutions, while ensuring scalability, security, reliability, and cost efficiency. Work directly with client stakeholders from discovery and prototyping through deployment, production support, adoption measurement, and handover.

Requirements

The role requires substantial experience in data engineering, AI application development, cloud data platforms, and production software engineering, along with hands-on expertise in Python, PySpark, SQL, APIs, RAG, MLOps/LLMOps, and modern engineering tools. A bachelor's degree in a related discipline is required, as are client-facing consulting skills and experience with BFSI environments; relevant certifications are preferred.

Skills

Python
PySpark
SQL
FastAPI
REST APIs
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Data Engineering
MLOps
LLMOps
Cloud Data Platforms
Kubernetes
Enterprise Security

Visa sponsorship

Not detected in the job text

Keywords

Python
PySpark
SQL
REST APIs
FastAPI
Claude
Prompt Engineering
Retrieval-Augmented Generation
Vector Databases
Semantic Search
Agentic AI
ETL/ELT
Batch Processing
Streaming Data
DataOps
MLOps
LLMOps
MLflow
Docker
Kubernetes
Airflow
CI/CD
Cloud Data Platforms
Data Governance
IAM/RBAC
BFSI
Data Quality
Model Monitoring
Data Discovery
Production Support

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Jobs in Canada