⋮IWConnect

DevOps Engineer

• Design, implement, and manage scalable and secure cloud infrastructures using Amazon Web Services (AWS), including EC2, VPC, IAM, and networking services;
• Deploy, configure, and maintain containerized applications using Kubernetes, Amazon EKS, and Helm charts to ensure high availability and performance;
• Build and manage Infrastructure as Code (IaC) using Terraform and Terragrunt to enable automated, repeatable, and reliable infrastructure provisioning;
• Develop and maintain CI/CD pipelines using GitHub workflows, GitHub Actions, and Jenkins to support efficient and automated software delivery;
• Deploy and manage streaming platforms such as Amazon MSK or Apache Kafka, ensuring reliable data streaming and messaging workflows;
• Manage and optimize cloud-based databases, including Amazon RDS (Aurora/Postgres/MySQL) and MongoDB (Atlas or self-managed), ensuring performance, scalability, and data reliability;
• Implement monitoring and observability solutions using Datadog (APM, Metrics, Logs) and CloudWatch (Alarms, Dashboards, Log Insights) to maintain system health and proactively resolve issues;
• Collaborate with cross-functional teams to improve system reliability, operational efficiency, and infrastructure performance through automation and best practices.

Intermediate DevOps Engineer

• Partner with development, infrastructure, and operations teams to design highly available, fault-tolerant, and disaster recovery–ready systems.
• Implement Infrastructure-as-Code (e.g., Terraform) to automate provisioning, scaling, and management of cloud services (AWS, Azure).
• Lead and support incident triage, resolution, and recovery efforts during critical events.
• Provide advanced troubleshooting expertise and guide teams during outages.
• Conduct detailed postmortems, document lessons learned, and drive improvements to reduce Mean Time to Recovery (MTTR).
• Collaborate with developers, QA, and product teams to embed reliability principles throughout the software development lifecycle.
• Mentor peers on observability tools, performance optimization, and SRE best practices.
• Identify opportunities for continuous improvement in reliability, performance, and cost efficiency.
• Evaluate and recommend emerging technologies to enhance scalability and resilience.
• Contribute to internal documentation, ensuring best practices are accessible across the organization.

Site Reliability Engineer

AI Engineer

• Work directly with clients: translate business problems into AI solutions, explain how the technology behaves (and its limits), and report progress clearly;
• Support proposals and pre-sales for new AI engagements;
• Lead AI engineers on engagements: if needed to have ability to set tasks, review work, give feedback, and support growth and performance;
• Own delivery quality and the path from PoC to production;
• Design end-to-end AI-powered experiences and the systems behind them: model selection, deployment patterns, infrastructure;
• Architect and build RAG pipelines - chunking (semantic/recursive/hierarchical), embedding selection, retrieval, hybrid search, re-ranking, and evaluation;
• Build agentic/multi-step workflows (LangChain, LangGraph, or equivalent): multi-agent designs, agent-to-agent protocols, and tool/API/MCP-style integration with enterprise systems;
• Deploy on a hyperscaler AI platform (Azure AI Foundry, AWS Bedrock, Google Vertex AI, K8s based or equivalent);
• Build for production: observability, evaluations, AI safety, bias/failure-mode handling, security, and cost control;
• Write the production code yourself - hands-on;
• Use AI development tools (GitHub Copilot, Cursor, Claude Code, etc.) as part of how you build and validate what they produce.

Senior AI Engineer

Backend Engineer

• Collaborate directly with clients to understand business needs, define technical solutions, and communicate progress, trade-offs, and risks.
• Take ownership of delivering high-quality software solutions—from technical design and implementation to deployment and ongoing improvements.
• Lead your area of responsibility by breaking down work, making sound technical decisions, and ensuring delivery quality and timelines.
• Collaborate closely with architects, business analysts, QA engineers, DevOps, project managers, and fellow developers to deliver successful projects.
• Review code, mentor team members, and promote engineering best practices across the development lifecycle.
• Design and build scalable, secure, and maintainable backend services, APIs, integrations, and cloud-ready applications.
• Use AI-powered development tools to accelerate coding, testing, debugging, documentation, and research while applying engineering judgment to validate and improve AI-generated output.
• Contribute to building modern software solutions, including AI-enabled capabilities where they add value for our clients.

Intermediate DevOps Engineer

Intermediate DevOps Engineer

Site Reliability Engineer

Site Reliability Engineer

Senior AI Engineer

Senior Back-end Developer, AI Enabled