Product Engineering

Product Engineering & Bespoke Delivery

Build enterprise-grade, scalable products with disciplined engineering practices, microservices architecture, API-first design, and continuous delivery excellence.

We combine product thinking with platform design and high-discipline delivery practices. Our engineering teams specialize in modern tech stacks, cloud-native architectures, containerization (Kubernetes, Docker), CI/CD pipelines, and SRE practices to deliver resilient, scalable, and maintainable platforms.

Engineering Methodology

Product thinking, platform design, and high-discipline delivery practices

Product Strategy & Discovery

Value hypothesis workshops, user journey mapping, persona development, MVP definition, and success metrics. We align product vision with measurable KPIs through backlog prioritization (RICE, MoSCoW), cost modeling, and technical feasibility assessment. Our discovery process includes competitive analysis, market research, and technical architecture planning.

Architecture & API Strategy

API-first design with OpenAPI/Swagger specifications, microservices architecture, bounded contexts, event-driven patterns (Kafka, RabbitMQ, AWS EventBridge), and data contracts. We design flexible, composable systems using domain-driven design (DDD), CQRS, event sourcing, and service mesh (Istio, Linkerd) for scalable, maintainable platforms.

Quality Engineering

Comprehensive testing strategies including unit testing (JUnit, pytest, Jest), integration testing, end-to-end testing (Selenium, Cypress, Playwright), performance testing (JMeter, Gatling), and security testing (OWASP, SAST/DAST). We implement quality gates, code coverage metrics, and automated test pipelines ensuring production-ready software with high reliability.

Core Engineering Capabilities

End-to-end product engineering services with modern technology stacks

DevSecOps & CI/CD Automation

Secure, automated pipelines using Jenkins, GitLab CI, GitHub Actions, Azure DevOps. We implement SAST/DAST scanning (SonarQube, Checkmarx, Snyk), dependency scanning, container security, automated testing, environment promotion, and advanced deployment strategies (canary, blue-green, feature flags). Infrastructure as Code with Terraform, Ansible, and GitOps practices.

Platform & Observability

Comprehensive monitoring stacks: Prometheus, Grafana, Datadog, New Relic, ELK Stack (Elasticsearch, Logstash, Kibana). Distributed tracing with Jaeger, Zipkin, OpenTelemetry. We implement SRE practices, SLI/SLO definition, error budgets, alerting, and on-call runbooks. Real-time dashboards, log aggregation, and performance analytics for operational excellence.

Legacy Modernization

Strategic modernization approaches: Strangler Fig pattern, API wrappers, database migration, containerization of monoliths, and cloud-native transformation. We maintain business continuity through incremental migration, parallel run strategies, and comprehensive testing. Expertise in .NET, Java, COBOL, and mainframe modernization.

Custom Development

Full-stack development with modern frameworks: Java (Spring Boot, Quarkus), .NET Core, Python (Django, FastAPI), Node.js (Express, NestJS), Go, Rust. Frontend: React, Angular, Vue.js, Next.js. Mobile: React Native, Flutter. We deliver from proof-of-concept to production with full lifecycle support, maintenance, and optimization.

Cloud-Native Development

Serverless architectures (AWS Lambda, Azure Functions, Google Cloud Functions), containerization (Docker, Kubernetes, Helm), service mesh, API gateways (Kong, AWS API Gateway, Azure API Management), and cloud-native databases. We design for scale, resilience, and cost optimization using auto-scaling, load balancing, and multi-region deployments.

Data Engineering & Integration

ETL/ELT pipelines with Apache Airflow, dbt, Spark, Kafka. Data integration platforms (MuleSoft, Boomi, Azure Integration Services), API management, event streaming, and real-time data processing. We design data lakes, data warehouses, and implement master data management (MDM) strategies for enterprise data architecture.

Technology Stack

Modern, enterprise-grade technologies and frameworks

Backend Technologies

Java (Spring Boot, Quarkus, Micronaut), .NET Core, Python (Django, FastAPI, Flask), Node.js (Express, NestJS), Go, Rust, Scala. Microservices frameworks, reactive programming (Spring WebFlux, RxJava), gRPC, GraphQL, REST APIs.

Frontend Technologies

React, Angular, Vue.js, Next.js, Nuxt.js, TypeScript, JavaScript ES6+. State management (Redux, MobX, Zustand), UI libraries (Material-UI, Ant Design, Tailwind CSS), Progressive Web Apps (PWA), responsive design.

Databases & Storage

PostgreSQL, MySQL, MongoDB, Redis, Cassandra, DynamoDB, Cosmos DB. Data warehousing (Snowflake, Redshift, BigQuery), search engines (Elasticsearch, Solr), time-series databases (InfluxDB, TimescaleDB).

DevOps & Infrastructure

Kubernetes, Docker, Helm, Terraform, Ansible, CloudFormation, ARM templates. CI/CD: Jenkins, GitLab CI, GitHub Actions, Azure DevOps, CircleCI. Monitoring: Prometheus, Grafana, Datadog, New Relic, ELK Stack.

Delivery Models

We offer flexible delivery models tailored to your needs: dedicated product squads (scrum teams with 2-week sprints), fixed-scope projects, agile teams (SAFe, LeSS), and outcome-based engagements. Our cross-functional teams include product managers, solution architects, full-stack engineers, QA specialists, DevOps engineers, and UX designers working collaboratively using Agile, Scrum, and Kanban methodologies.

Product Squads

Dedicated cross-functional teams

Fixed-Scope Projects

Time-bound deliverables

Agile Teams

SAFe, Scrum, Kanban

Outcome-Based

Results-driven engagements

Discuss Your Product Vision