Senior Software Consultant - Python Job at 10Pearls (Islamabad)

Senior Software Consultant - Python + FastAPI + GraphQL

10Pearls is seeking a Senior Software Consultant — Application Development (L2 –...

Location

Pakistan , Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

3–5 years of experience building production-grade Python backend systems
Strong experience with backend frameworks such as FastAPI, Flask, Django REST Framework, or equivalent
Hands-on experience with PostgreSQL, including schema design, complex queries, migrations, and transactions
Proven experience developing GraphQL servers (e.g., Strawberry, Apollo, Hasura, Graphene), including resolvers, subscriptions, and performance optimization
Solid understanding of AsyncIO, Pydantic, SQLAlchemy, or equivalent ORMs
Strong testing practices using pytest, fixtures, mocks, and integration testing strategies
Experience working with containerized environments and Kubernetes-deployed services
Strong written communication skills and collaborative pull request hygiene
Ability to work onsite from Islamabad, Pakistan, and collaborate in an Agile environment

Job Responsibility

Design and build core backend application features, including GraphQL query, mutation, and subscription resolvers
Implement tenant-aware authorization and optimize data loading to avoid N+1 query issues
Develop and maintain the Action Registry, including FSM workflows such as proposal creation, simulations, approvals, execution, and audit logging
Build and manage Tool Catalog services, including CRUD operations and registration workflows for tools and model-as-tool entries
Integrate backend systems with supporting services such as OPA for policy evaluation, Kafka for event emission, Vault for secret management, and audit-event generation
Write clean, maintainable, and production-ready Python code aligned with system architecture standards
Implement comprehensive unit, integration, and contract tests, ensuring performance and coverage standards are met
Participate in design reviews, proactively manage technical debt, and contribute to overall code quality
Collaborate effectively with cross-functional teams and mentor junior engineers when onboarded

Fulltime

Senior Software Consultant - ML Ops

10Pearls is seeking an MLOps Engineer – ML Platform & Feature Store to build, op...

Location

Pakistan , Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field (preferred)
3–5 years of experience in ML engineering, data engineering, or MLOps roles
Strong Python skills with experience in pandas, numpy, pyarrow, scikit-learn
Hands-on experience with feature stores (Feast preferred) or similar feature pipeline systems
Experience with MLflow or similar experiment tracking/model registry tools
Familiarity with distributed computing frameworks (Spark or equivalent)
Working knowledge of Docker, Kubernetes (kubectl, Helm), and containerized workflows
Experience handling GPU-based workloads
Strong problem-solving skills and ability to support cross-functional teams

Job Responsibility

Build and maintain feature pipelines using Feast, including feature definitions and materialisation jobs (batch + streaming)
Develop and manage training pipelines, including containerization, scheduling, dataset access, and artifact handling
Operate and maintain MLflow tracking server, managing experiments, models, and artifact storage
Execute model evaluation workflows, run evaluation suites, and support model promotion decisions
Enable data scientists by resolving issues related to environment setup, data access, compute, and reproducibility
Manage GPU-based workloads and ensure efficient scheduling and utilization
Support distributed data processing using Spark or similar frameworks
Ensure air-gap readiness by managing dependencies, pre-building images, and enabling offline deployments
Collaborate with MLOps Lead on platform improvements, scalability, and long-term architecture

Fulltime

Senior Software Consultant - Agentic AI - Morning Shift

10Pearls is seeking an Agentic AI Engineer to design and build intelligent AI-dr...

Location

Pakistan , Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

3-6 years of experience in AI/ML engineering, backend development, or related roles
Hands-on experience working with LLMs (OpenAI APIs or similar) and agent frameworks (LangChain, AutoGPT, CrewAI, etc.)
Strong understanding of prompt engineering and AI workflow design
Experience with Python and backend development
Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)
Experience building and integrating REST APIs
Understanding of AI system evaluation, monitoring, and optimization
Strong problem-solving and analytical skills
Ability to work in a fast-paced, collaborative environment

Job Responsibility

Design and develop agent-based AI systems using LLMs and modern AI frameworks
Build and optimize AI workflows, including prompt engineering and chaining strategies
Integrate OpenAI APIs and other LLM services into applications
Develop and manage vector databases for semantic search and retrieval
Build and maintain backend services and APIs for AI-driven applications
Optimize AI models for performance, cost, and scalability
Collaborate with cross-functional teams to implement AI solutions into production systems
Monitor and improve system outputs, ensuring quality and reliability of AI responses
Stay updated with emerging trends in Generative AI and agent frameworks

Senior Software Consultant - Databricks / Snowflake

We are seeking a skilled Data Engineer with strong expertise in Databricks and S...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling
production experience with sqlmesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred)
hands‑on experience with databricks or snowflake, operating pipelines and warehouses in production environments
advanced sql skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations
proficiency in python, especially for PySpark transformations, data validation, and pipeline automation
strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices
experience with ci/cd for data, including automated testing, version control, and deployment pipelines

Job Responsibility

build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse
scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks
own ci/cd for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation
develop and integrate ml models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers
ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments
design and maintain 300+ sql and python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness
own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs
champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data
collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets
drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams

Senior Software Consultant - Databricks / Snowflake

We are seeking a skilled Data Engineer with strong expertise in Databricks and S...

Location

Pakistan , Lahore, Karachi, Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred)
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines

Job Responsibility

Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams

Senior software consultant marketing automation

10Pearls is seeking a Senior Full Stack Engineer – Marketing Automation, a produ...

Location

Pakistan , Karachi; Lahore; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

5+ years of full-stack engineering experience with proven delivery of production SaaS applications (minimum 5 shipped and scaled)
Hands-on experience building or contributing to marketing automation platforms, CRM systems, workflow engines, or campaign management systems
Strong understanding of customer data architecture including contact records, behavioral segmentation, lifecycle management, and attribution models
Backend expertise in Node.js/TypeScript or Python, relational and document databases, message queues, job schedulers, and event-driven systems
Frontend proficiency in React/Next.js with strong knowledge of state management and responsive UI architecture
Experience with cloud infrastructure (AWS, GCP, or Azure), containerization, CI/CD, monitoring, and alerting systems
Strong security mindset including OAuth, RBAC, encryption, PII handling, and compliance awareness
Ability to work in US time zone overlap (6:00 PM PKT onward)

Job Responsibility

Convert AI-assisted prototypes into production-grade, scalable SaaS components
Build and maintain backend services including campaign orchestration engines, segmentation pipelines, event-driven triggers, scheduling systems, and delivery tracking
Design and implement CRM data models, contact management APIs, and integrations with bank core systems and third-party providers
Develop multi-tenant architecture, role-based access control (RBAC), and audit logging aligned with financial services standards
Own API design, documentation, and partner-facing integrations
Establish and enforce code quality standards, automated testing strategies, and CI/CD pipelines
Collaborate closely with AI-augmented engineers and Product Managers in agile 2-week delivery cycles

Senior Software Consultant - Databricks / Snowflake

We are seeking a skilled Data Engineer with strong expertise in Databricks and S...

Location

Pakistan , Lahore; Karachi; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred)
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines

Job Responsibility

Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams

Senior software consultant marketing automation

10Pearls is seeking a Senior Full Stack Engineer – Marketing Automation Platform...

Location

Pakistan , Karachi; Lahore; Islamabad

Salary:

Not provided

10Pearls

Expiration Date

Until further notice

Requirements

5+ years of full-stack engineering experience with proven delivery of production SaaS applications
Hands-on experience building or contributing to marketing automation platforms, CRM systems, workflow engines, or audience builders
Strong understanding of customer data architecture, including event streams, behavioral segmentation, lifecycle management, and attribution models
Backend expertise in Node.js/TypeScript or Python, relational and document databases, message queues, job schedulers, and event-driven systems
Frontend proficiency in React/Next.js with strong understanding of state management and responsive UI architecture
Experience with cloud infrastructure (AWS, GCP, or Azure), containerization, CI/CD, monitoring, and alerting systems
Strong security mindset including OAuth, RBAC, encryption, PII handling, and compliance awareness

Job Responsibility

Architect and productionize AI-prototyped features with a focus on scalability, security, observability, and reliability
Build and maintain marketing automation backend services including campaign orchestration engines, segmentation pipelines, event-driven triggers, scheduling systems, and delivery tracking
Design and implement CRM data models, contact management APIs, and integrations with bank core systems and third-party providers
Develop multi-tenant architectures, role-based access control (RBAC), and audit logging suitable for financial services
Own API design, documentation, and partner-facing integrations
Establish and enforce code quality standards, testing strategies, and CI/CD pipelines
Collaborate closely with product managers and AI-augmented engineering teams in agile 2-week delivery cycles

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Senior Software Consultant - Python

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