Grid Dynamics

We are looking for a proactive and experienced Senior Microsoft 365 Engineer on a senior level to join our team and help operate, maintain, and continuously improve our Microsoft 365 platform in a large-scale enterprise environment. You are a self-driven professional with strong technical expertise, a passion for automation, and a proven track record of delivering sustainable solutions instead of temporary fixes. You proactively identify opportunities for improvement, take ownership of complex initiatives, and collaborate effectively with stakeholders across the organization

Requirements for the candidate:
Several years of professional experience as a Microsoft 365 Engineer.
Proven experience operating, administering, and continuously improving Microsoft 365 in complex enterprise environments supporting several thousand users.

Strong expertise in:
- Microsoft 365
- Exchange Online
- Microsoft Teams
- SharePoint Online
- OneDrive for Business
- Microsoft Entra ID (including app registration and Enterprise applications)
- Strong PowerShell skills to automate reoccurring tasks.
- Hands-on experience with hybrid environments, including Active Directory and Microsoft Entra Connect.
- Experience with M&A, carve-out, or post-merger integration projects.
- Experience planning and executing complex Microsoft 365 migrations, tenant consolidations, and tenant decommissioning projects.
- A structured and solution-oriented approach with a strong focus on quality.
- Excellent communication skills with the ability to explain technical concepts to non-tech stakeholders.
- Fluent English, both written and spoken. German is a plus.

Candidate responsibilities
- Operate and support Microsoft 365 enterprise services.
- Support the existing team in administering and continuously improving the Microsoft 365 platform.
- Administer, troubleshoot, and optimize Exchange Online, Microsoft Teams, SharePoint Online, OneDrive, and Microsoft Entra ID.
- Automate administrative processes using PowerShell and Microsoft Graph.
- Plan and execute complex Microsoft 365 tenant decommissioning projects.
- Act as point of contact for our User Services team, providing technical guidance and assisting with the troubleshooting of issues affecting the Microsoft 365 platform.
- Analyze and resolve complex technical issues as part of the 3rd Level Support team.
- Create and maintain technical documentation, standards, and operational procedures.
- Collaborate with stakeholders across teams
- Drive Microsoft 365 and Entra ID cleanup activities related to post-integration technical debt, (ex: distribution lists, shared mailboxes, SharePoint sites, Teams, and access-related objects)
- Drive Microsoft 365 related backlog reduction by analyzing recurring support patterns, resolving prioritized issues, and turning repeatable requests into automation, documentation, or sustainable platform improvements

We are building an agentic AI platform for enterprise teams, delivered as a single-tenant install into each customer's cloud. Every architectural decision has to work for one customer or fifty, in AWS, Azure, or GCP, behind their identity provider, on their data.

We're hiring a Staff (or Senior Staff) Engineer to own the technical direction of the platform. You'll set the architecture, lead the hardest engineering work hands-on, and partner with the Forward Deployment team to make sure what we build actually deploys cleanly into customer environments. This is an individual contributor role with broad authority — you won't manage people, but you will set the technical bar for the engineering team and be the deciding voice on cross-cutting decisions.

Requirements for the candidate
Must-Have Qualifications
- Staff-level scope — 10+ years engineering experience, with at least 3 at the staff level or equivalent (principal IC, technical lead of a major system, founding engineer). Title matters less than scope demonstrated
- Production LLM systems — has built, shipped, and operated LLM-based applications at scale. Prompt engineering, RAG, tool-using agents, prompt-injection defense, evaluation pipelines. Has managed cost and latency, not just prototypes
- Multi-tenant SaaS architecture — has shipped a multi-tenant product and knows the trade-offs between shared-everything, shared-database, and silo deployments. Has opinions on when each is right
- Distributed systems foundation — idempotency, eventual consistency, queue-based async, distributed locking. Has implemented or operated these in production, not just read about them
- Security architecture — has designed an authn/authz system end-to-end. OWASP top 10 as patterns you've prevented in code reviews, not a list to memorize
- Deep proficiency in Python; comfortable enough in TypeScript/Node to read and review
- PostgreSQL under load — pool tuning, indexes, replication, online migrations. Working knowledge of pgvector or comparable vector store
- Cloud-native architecture — strong in AWS at minimum, with working understanding of at least one of Azure or GCP. Knows what's portable and what isn't
- Decisive on hard calls — comfortable being the deciding vote on architectural questions when there's no clean answer

Candidate responsibilities
Platform Architecture
Own the architecture of the AI platform end-to-end — agent orchestration, tool execution, memory, retrieval, observability, identity, authorization
Make and document the irreversible decisions: data model, async patterns, caching strategy, deployment topology
Lead the LangGraph-based agent framework: supervisor patterns, specialist agents, evaluation harnesses, regression suites
Author and review every significant ADR; keep the architecture coherent as the product and team grow

Multi-Tenant & Customer-Cloud Foundations
Design data isolation, identity, and authorization to work in single-tenant customer-cloud installs from day one — and to scale to a managed multi-tenant offering when the time comes
Own the integration with WorkOS (multi-tenant SSO broker) and Cerbos (centralized policy decision point) — schema, deployment topology, policy bundle workflow, customer customization boundary
Define the boundary between platform-owned code and customer-customizable layers (policies, prompts, tools, schemas, model choices)
Partner with the Forward Deployment team to make sure every architectural choice has a clean install story across AWS, Azure, and GCP

LLM & Agent Safety
Lead the design of guardrails and AI safety mechanisms — prompt-injection defense, output validation, PII handling, evaluation pipelines
Own the integration with our Athena guardrail router and the safety contracts agents must meet before they ship
Drive cost discipline on LLM workloads — caching strategy, model routing, token budgeting, latency targets
Make every agent decision auditable — observable, traceable, replayable, and defensible to a customer's security team

Hands-On Engineering
Personally lead the hardest work — distributed systems edge cases, performance investigations under load, security architecture, novel agent patterns
Write code and reviews, not just docs. The IC bar at staff level here is high
Pair with engineers on hard problems; raise the technical level of every review you touch
Be on point for production incidents that touch architecture; own the postmortem

Mentorship & Cross-Functional
Mentor senior engineers; be the person they go to when they want to do something technically ambitious
Be the engineering voice in customer technical conversations — CISO reviews, architecture deep-dives, incident escalations
Partner with the Senior Manager, Forward Deployment on customer-facing technical decisions where deployment shape and platform shape have to agree
Partner with product to translate roadmap into technically coherent quarterly commitments and an honest dependency map

We are looking for a Senior CRM Manager!

About the Project:
Join our team working with the largest pan-European online car marketplace, connecting millions of customers with thousands of automotive dealers across Europe.

Role Overview:
We are looking for a Senior CRM Manager who can independently own the CRM function. This role requires a highly autonomous professional capable of managing day-to-day CRM operations while driving strategic improvements across the customer lifecycle.
The ideal candidate is experienced with Salesforce Marketing Cloud, passionate about customer engagement, and comfortable working in a distributed team with minimal supervision.

Responsibilities:
CRM Campaign Management
- Own and execute end-to-end CRM campaigns across the customer lifecycle.
- Manage recurring and ad hoc email campaigns.
- Monitor campaign performance and identify optimization opportunities.
- Ensure campaign quality, accuracy, and timely delivery.

CRM Strategy & Optimization
- Audit existing CRM campaigns and customer journeys.
- Analyze performance and identify opportunities to improve engagement, retention, and conversion.
- Design and execute A/B tests.
- Recommend and implement CRM best practices and process improvements.

CRM Platform & Migration
- Support the migration from Salesforce Marketing Cloud to the new CRM platform.
- Configure and validate campaigns during the migration process.
- Collaborate with Product and Engineering teams to ensure proper integrations, audience management, and data consistency.
- Contribute to improving CRM automation and operational efficiency.

Cross-functional Collaboration
- Partner with Product, Engineering, Marketing, and Analytics teams.
- Work independently in a remote-first, cross-location environment.
- Proactively identify issues, gather information, and drive initiatives with minimal guidance.

Tech Stack:
CRM Platforms
Salesforce Marketing Cloud
Mandrill (Mailchimp Transactional)
Etribe (migration project)
Collaboration Tools
Confluence
Jira
Marketing & Analytics
CRM Analytics
A/B Testing
Customer Segmentation
Lifecycle Marketing

Qualifications:
Must have
- 5+ years of experience in CRM, Lifecycle Marketing, or Marketing Automation.
- Strong hands-on experience with Salesforce Marketing Cloud.
- Experience managing end-to-end CRM campaigns independently.
- Experience designing and analyzing A/B tests.
- Ability to balance operational execution with strategic CRM planning.
- Strong stakeholder management and communication skills.
- Excellent English communication skills.
- Highly autonomous, proactive, and comfortable working with distributed teams.

Nice to have
- Experience with Mandrill (Mailchimp Transactional).
- Experience with CRM platform migrations.
- Experience with Etribe or similar customer engagement platforms.
- Marketplace, eCommerce, or digital product experience.
- Experience working with Product and Engineering teams.
- Interest in AI-driven marketing automation and CRM optimization.