June 9, 2026
Principal Engineer
Senior • Remote
Warsaw, Poland
The Principal Engineer is experienced software engineer specialising in MERN tech stack to build scalable, high-performance web solutions.
This individual will play a crucial role in the development process, accelerating delivery of full-stack web applications.
The Principal Engineer will act as the highest skilled Individual Contributor and will cooperate closely with Media, Content and Commerce team supporting Marketing . The team operates within Scrum framework to deliver value to Consumer Healthcare business.
The team supports variety of applications composed of different technologies like React.JS, Node.JS, Vue.JS, Python, Databricks, Kubernetes, PowerApps, Azure Synapse Analytics, database technologies like PostgreSQL, MongoDB, Microsoft SQL.
📍 Remote from Poland
The Principal engineer will champion best practices in software engineering including micro-services architecture, API-First and event based integration, Cloud Native/SaaS hosting and Headless CMS. A Good candidate should have knowledge of:
The Principal Engineer is the most senior Individual Contributor (IC) and excels through in depth technical knowledge of specific technical domains.
Contributes to their team or domain meeting goals through successfully leading and consistently delivering on projects of highly ambiguous scope, high complexity and critical business impact.
Can be deployed to highest priority business problems or fires, can quickly resolve them and help the business understand how to avoid them in future.
Proactively contributes to the betterment of other engineers in the company, through sponsoring, mentoring and providing constructive, candid feedback.
Proactively gives technical and strategic feedback on projects relevant to their expertise that leads to better outcomes.
Directly impacts the trajectory of the company both through working on the most impactful problems and being able to bring about change with effective momentum.
Links technical contribution back to business impact for their team or area and helps others to buy into this.
Consistently leads their team to good outcomes from a technical perspective, ensuring appropriate engineering decisions are made to factor in technical debt, systems design, stability/reliability, monitoring/observability and business need.
Is regularly recognized in their team and collective for highly impactful technical contributions of the highest quality.
Proposes changes to technical scope to handle changing business priorities or urgency.
Leads the refactoring of complex systems or problems when it is warranted. Can make pragmatic trade-offs between perfection and technical debt which aligns with our priorities as a business, including how to repay debt.
Has the skills to competently work on complex and unknown problems under pressure (e.g. debugging complex production issues at speed, or leading the resolution of critical or major incidents)
Can demonstrate their technical skills outside of code, and leads the design process for complex technical problems in their team or collective.
Contributes to architecture forums, takes part in initiatives to improve the practices of the engineering discipline.
Can clearly and confidently articulate risk of technical problems to non technical stakeholders (e.g legal, compliance)
Communicates effectively when representing Engineering to external stakeholders (e.g auditors, regulators, third-parties, or industry groups) when appropriate
Actively and regularly offers well considered contributions to the roadmap of their team or business area.
Fosters effective collaboration between product, engineering and architecture.
Demonstrates product-awareness. Offers valuable contributions to quarterly planning rituals, and works with the PM or team lead on setting the vision for a team.
Ensures their team is focusing on work that will drive forward quarterly goals or business objectives, whilst reducing the operational impact for engineers and Ops.
Repeatedly consulted for advice by engineers from different teams or collectives.
Proactively stays up to date with technology trends in their area, and uses this knowledge to contribute thoughts on their team’s strategy.
Works to enable groups of others to improve coding standards and awareness of best practices around non-functional requirements (e.g. performance, testability, scale, security)
Tackles problems before they can do harm, knowing which levers to pull to make change happen.
Key Roles & Responsibilities
Leads the refactoring of complex systems or problems when it is warranted. Can make pragmatic trade-offs between perfection and technical debt which aligns with our priorities as a business, including how to repay debt.
Has the skills to competently work on complex and unknown problems under pressure (e.g. debugging complex production issues at speed, or leading the resolution of critical or major incidents)
Can demonstrate their technical skills outside of coding, and leads the design process for complex technical problems in their team or collective.
Articulates risk of technical problems to non technical stakeholders (e.g legal, compliance) and Communicates effectively when representing Engineering to external stakeholders (e.g auditors, regulators, third-parties, or industry groups) when appropriate
Actively and regularly offers well considered contributions to the roadmap of their team or business area.
Fosters effective collaboration between product, engineering and architecture.
Qualifications and skills
Strong experience with Azure Cloud and Azure services
Technical expertise in one or more technology domains and programming languages (e.g. Java, Javascript), database technologies (e.g. MongoDB, PostgreSQL, MySQL) and release & configuration management tools.
Technical expertise in JavaScript frameworks (Remix.js. Node.js, React.js)
Understanding of headless CMS architecture, i.e. Contenful
Experience with scripting languages (preferably Python) in cloud environments with a focus on IaaS, PaaS
Comprehensive understanding of modern DevOps platform technologies (e.g. GitHub Actions) incl. infrastructure-as-code (e.g. Terraform) and containers (e.g. Kubernetes, AKS)
Knowledge of Security Practices for DevSecOps
Knowledge of Azure Data (DataBricks , Synapse Studio) , AI (Open AI , AI Search) tools
Experience with code quality and code security tools (i.e.: SonarQube, Github Advanced Suite).
Experience with observability tools e.g. Datadog
Experience with Atlassian suite
Extensive experience with agile methodologies
Experience working in a cloud native environment (Azure desirable)
Working knowledge of Scrum based Agile development
Job Requirements and Qualifications:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field – or equivalent practical experience.
Around 10 years of experience in software engineering, with experience in leadership role (e.g. Senior/Principal Software Engineer, Team Lead).
Proven experience with architecture and solution design in software engineering.
Deep domain & Engineering management expertise and experience.
Demonstrable tech leadership.
Experience working with geographically distributed teams or vendor partners.
Exposure in managing web hosting platforms/teams.
Benefits ✅
Stable long-term cooperation with opportunity for extension
Opportunity to work with modern technologies in an international environment
Professional growth and continuous development opportunities
Participation in challenging and impactful projects
📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk
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Hybrid
Gdansk, Poland
🏢 Summary: Technical leadership role focused on designing and delivering a cloud‑native flagship product on AWS. The position combines hands‑on full‑stack development (C#/.NET Core and Angular/React) with architecture ownership, microservices design and mentoring engineers. Hybrid work model with strong impact on technical direction and engineering standards. 🗂️ Requirements: 8+ years of software development experience, Experience in senior or tech‑lead role, Expertise in C# and .NET, Experience with microservices architecture, Experience with AWS cloud architecture, Experience with Angular or React, Full‑stack development experience, Very good English (B2+) 📃 Skills: C#, .NET, AWS, Angular, React, Microservices, CI/CD 🏢 Description: Principal Software Engineer (Fullstack) Location: Gdańsk (Przymorze) – hybrid (3 days office, 2 days remote) About the role: Act as a technical leader in a cross‑functional Engineering Workbench R&D team. Design strategic architectures and frameworks for a flagship cloud‑native product on AWS. Lead development of microservices and web applications using C#/.NET Core and Angular/React. Mentor engineers and drive best practices in code quality, security and CI/CD. Requirements: 8+ years of experience in software development, including senior/tech‑lead roles. Deep expertise in C#/.NET , microservices and cloud architectures ( AWS ). Full‑stack skills with modern frontend frameworks (Angular/React) . Strong product mindset, high ownership, excellent collaboration and communication skills. Very good English (B2+), curiosity and drive for continuous improvement and innovation. We offer: Hybrid work model in our modern Gdańsk Przymorze office (3 days onsite, 2 remote). Employment via Antal: employment contract or B2B. Chance to shape the technical direction of a flagship product used globally. Strong engineering culture, mentoring, clear growth paths (Senior / Principal). Equipment for office and home, private medical care, Multisport, life insurance, wellbeing initiatives.
Technology
Senovo-It
Principal Software Engineer / Tech Lead (.NET / Azure / AI)
Senior
Remote
Warsaw, Poland
25,000 - 28,000 PLN
🏢 Summary: Hands-on Principal Software Engineer / Tech Lead role focused on architecting and developing AI-driven solutions for a global tax consulting platform. The position combines technical leadership with active backend and AI development, shaping microservices-based architecture and GenAI-enabled engineering practices. Remote role from Poland requiring close collaboration with product and engineering teams. 🗂️ Requirements: 9+ years software engineering experience in complex global environments, 5+ years experience as Tech Lead or Architect with hands-on coding, Strong expertise in C# and .NET, Experience with Python in AI-related use cases, Frontend experience with React, Angular, or Vue.js, Experience with Microsoft Azure (Functions, Service Bus/Event Hub, App Services, SQL/MongoDB), Strong knowledge of microservices architecture, DDD, CQRS, SOLID, Clean Architecture, Experience with DevOps practices (CI/CD, deployment, monitoring), Hands-on experience with AI development tools (e.g., GitHub Copilot, OpenAI), Fluent English (C1 level) 📃 Skills: C#, .NET, Python, React, Angular, Vue, Azure, SQL, MongoDB, Microservices, DDD, CQRS, SOLID, CI/CD, DevOps, GenAI, OpenAI, GitHubCopilot 🏢 Description: We are looking for a highly experienced Principal Software Engineer / Tech Lead to join a global engineering team working on the Sightline platform – an in-house solution supporting tax consulting services worldwide. This is a hands-on leadership role , combining responsibilities across architecture, software engineering, and team leadership . You will play a key role in shaping the technical direction of AI-driven solutions, while actively contributing to development. You will work on cutting-edge AI-powered systems , leveraging GenAI tools and agent-based development approaches to build scalable, high-quality, and business-oriented solutions Location: Remote from Poland Language: Polish and English Key Responsibilities Lead the end-to-end design, development, and deployment of new platform components and features Define and drive architecture decisions (microservices, DDD, CQRS, Clean Architecture) Collaborate closely with Product Owners and stakeholders to align technical solutions with business needs Lead and mentor software engineers and QA teams , ensuring high engineering standards Conduct code reviews and provide technical guidance , promoting best practices across teams Ensure compliance with platform standards, security, and performance requirements Support production environments (L3 support) – troubleshooting and resolving complex issues Drive adoption of AI tools and GenAI practices in the development lifecycle Stay up to date with the latest AI frameworks, agent platforms, and engineering practices Requirements (Must Have) 9 to 12+ years of experience in software engineering within complex, global environments 5+ years as Tech Lead / Architect , with strong hands-on experience Strong expertise in C# / .NET (core backend technology) Experience with Python (especially in AI-related use cases) Frontend experience with React, Angular, or Vue.js Strong experience with Microsoft Azure (Functions, Service Bus/Event Hub, App Services, SQL/MongoDB) Solid understanding of microservices architecture, DDD, CQRS, SOLID, Clean Architecture Experience with DevOps practices and tools (CI/CD, deployment, monitoring) Hands-on experience with AI-enabled development tools (e.g. GitHub Copilot, OpenAI, etc.) Strong communication skills and ability to work with senior stakeholders and business teams Fluent English ( C1 level )
Technology
Point Wild
Principal Platform Engineer
Senior
Remote
Warsaw, Poland
🏢 Summary: Principal Platform Engineer to architect and lead the infrastructure strategy for a production-grade ML platform on Google Cloud. The role focuses on building and automating scalable, secure, and resilient infrastructure for high-performance machine learning workloads. You will design cloud-native systems, CI/CD pipelines, and observability solutions to ensure reliable model deployment and operations. 🗂️ Requirements: 8–10+ years in DevOps or Platform Engineering, Minimum 2 years operating production ML workloads, Deep hands-on experience with GCP and GKE, Strong expertise in Kubernetes cluster architecture and operations, Proficiency with Istio service mesh and API gateways, Expert-level Terraform with Atlantis/GitOps workflow, Experience building ML CI/CD pipelines, Experience operating Airflow in production, Experience with ML serving platforms, Experience managing Cloud SQL (PostgreSQL) and BigQuery, Experience with in-cluster datastores, Experience managing enterprise identity and secrets systems 📃 Skills: GCP, GKE, Kubernetes, Istio, Kong, Terraform, Atlantis, GitOps, Helm, Kustomize, ArgoCD, Airflow, Jenkins, GitHub, MLflow, Triton, vLLM, PostgreSQL, BigQuery, Elasticsearch, ClickHouse, Auth0, Dex, ESO, SOPS, IAM, VPC-SC 🏢 Description: Principal Platform Engineer Poland, Remote or Ukraine, Remote or Romania, Remote Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future. Join us for the ride! We’re looking for a Principal Platform Engineer to architect and lead the infrastructure strategy for our next-generation Production ML platform on Google Cloud. In this role, you will be the backbone of our high-performance machine learning workloads, ensuring our systems are elastic, secure, and resilient. You won’t just maintain the status quo; you’ll build the "paved road" for our engineers, automating everything from model deployment to complex networking perimeters. We are a high-trust, outcome-focused team that moves quickly to solve some of the most challenging problems in the ML space. Core Responsibilities: Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads. CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow. Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production. Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation. ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts, to ensure long-term model reliability. Non ML workload and production metrics monitoring. Deploy tools that empower individual teams to monitor their workloads. Participate in on-call rotation, help manage posture to ensure compliance with standards such as SOC. What you bring to the table: Senior Expertise: 8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience specifically operating and maintaining production ML workloads . GCP & K8s Mastery: Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, and in-cluster operators like ArgoCD). Service Mesh Excellence: High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (specifically Kong ). Infrastructure as Code: Expert-level Terraform skills, specifically using an Atlantis/GitOps workflow across a massive, multi-hundred-file estate. Secrets & Identity: Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS). Data/ML Tooling: Experience operating Airflow in production and an ML-serving stack (e.g., Triton, vLLM, MLflow ). Database Management: Comfortable managing Cloud SQL (PostgreSQL), BigQuery, and in-cluster datastores like Elasticsearch or ClickHouse. At least an upper-intermediate level of spoken and written English. It would be great if you also had: ML Observability: Past experience with continuous monitoring of model accuracy and detecting data/concept drift. Automation Savvy: Experience with Ansible for cluster bootstrap and recovery. Advanced Certifications: Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications. Modern Stack Exposure: Familiarity with Loki, Grafana , or managing ClickHouse at scale. Why Join Us? Professional Growth: Enhance your skills by collaborating closely with talented engineers and architects. Meaningful Impact: Help create software that protects millions of users from cybersecurity threats. Supportive Environment: Join a team dedicated to innovation, mentorship, and continuous learning.