Top Tech Jobs & Startup Jobs

Designs and builds cloud infrastructure from scratch using Infrastructure-as-Code, develops CI/CD pipelines, manages source-control platforms and migrations, and automates containerized Kubernetes deployments. The role establishes engineering standards, security, compliance, and scalable platform practices while collaborating with data scientists, ML engineers, developers, and architects. Strong Python, Terraform, cloud, Git, and pipeline expertise is required. The position is hybrid in Poland and may involve client travel.

Leads client-facing AI and digital transformation engagements from strategy through implementation and adoption. Manages cross-functional teams building enterprise Generative AI, Agentic AI, machine learning, and analytics solutions. Advises senior stakeholders, develops client relationships, supports business development, manages budgets and vendors, ensures engineering and architecture quality, hires and mentors talent, and drives AI scaling initiatives across consulting engagements.

Leads enterprise-scale digital transformation programs using Microsoft Azure AI, Fabric, Power Platform, Copilot, and related technologies. Oversees cross-functional delivery teams, AI operationalization, governance, risk mitigation, client alignment, business development, and digital strategy. Develops reusable assets, training programs, and delivery methodologies while strengthening Microsoft capabilities and partnerships. Requires extensive life sciences consulting experience, large-scale program leadership, stakeholder management, and familiarity with Agile, DevOps, and product-centric execution.

Leads client-facing technology consulting engagements for manufacturing and industrial operations. Responsibilities include OT and industrial data strategy, solution architecture, SDLC delivery, Unified Namespace and data-layer design, client relationship management, account expansion, cross-functional team leadership, validation, change management, and ROI delivery. The role requires deep expertise in plant-floor systems, industrial connectivity, cloud, data engineering, and life-sciences or pharmaceutical manufacturing.

Leads the architecture, delivery, and evolution of scalable AI platforms and GenAI services. Manages and mentors engineering teams, oversees backend development using Python frameworks, guides LLM integrations and agentic workflows, establishes engineering standards, and owns technical delivery across multiple services. Partners with Product, AI/ML, DevOps, Data Engineering, and Consulting teams while ensuring production reliability, observability, security, and long-term platform sustainability.

Leads AI-enabled analytics engineering and commercial analytics workstreams for life-sciences and other clients. Builds Databricks insight pipelines, agentic LLM workflows, conversational analytics, evaluation harnesses, governed data products, and production-quality software. Structures ambiguous business questions, applies advanced analytical methods, integrates complex data sources, and translates findings into decisions and client-ready deliverables. Manages and coaches teams of 2–4, oversees quality and delivery risks, supports client stakeholders, and contributes to proposals and capability development.

Build and maintain Databricks analytics pipelines, LLM agent tools, evaluation harnesses, data guardrails, and tests while delivering commercial analytics for client teams. Analyze varied healthcare, life sciences, CRM, financial, and operational datasets using segmentation, forecasting, cohorts, and test-and-control methods. Present insights clearly, manage modules end to end, guide Associates, support SIT/UAT, and collaborate directly with clients.

Manage multi-region AWS infrastructure and Linux servers, including configuration, migrations, upgrades, patching, monitoring, access control, troubleshooting, and root-cause analysis. Support serverless and container infrastructure, analyze logs and performance trends, audit infrastructure, mitigate threats, and resolve escalated operational issues. Mentor new team members and collaborate in a hybrid, client-facing consulting environment.

Leads administrative support across multiple teams and offices, overseeing service delivery, manager development, staffing capacity, workflow standards, performance, and process improvement. Partners with senior stakeholders to resolve escalated issues, align support services with business priorities, and strengthen onboarding, training, succession planning, and team effectiveness. The role requires extensive operational leadership, resource planning, cross-functional coordination, and sound judgment.

Administer SolarWinds and monitor Windows, Linux, network, and application infrastructure. Configure monitoring modules, devices, alerts, dashboards, polling engines, agents, credentials, reports, and platform maintenance. Respond to 24x7 alerts, investigate issues through RDP and SSH, perform first-level troubleshooting, and escalate incidents. Manage ITSM tickets, documentation, runbooks, handovers, audits, patching windows, and maintenance schedules while supporting client-facing infrastructure operations.