This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity, prompt testing and evaluation, monitoring/observability, and the underlying AI infrastructure layer. The objective is to improve DevEx and reduce time-to-market for AI features. Tasks - Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster. - Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads. - Manage infrastructure as code with Terraform (modules, environments, CI/CD automation). - Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns. - Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow. - Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate). - Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals). - Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation). Requirements - Strong hands-on experience with Kubernetes in production (preferably AKS). - Solid Terraform expertise (IaC best practices, multi-env setups). - Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context. - Proficiency in Python for automation, scripting, and supporting APIs/evaluation tooling. - Understanding of CI/CD, release processes, and production-grade operations. - Ability to work under tight timelines and deliver pragmatically. Nice to Have - Experience building internal developer platforms or “paved roads” for engineering teams. - Familiarity with LLM evaluation frameworks, prompt testing workflows, and LLM observability. - Exposure to RAG architectures, vector databases, and agentic patterns. - Experience with Kubeflow, Argo, and ML lifecycle tooling. Engagement Type - Long-term B2B contract. Team - You will join a team of 5, with 3 AI Platform Engineers being added. Location / Timezone - Remote within Europe (preferred: Croatia, Poland, Portugal, Serbia). - European working hours. - Occasionally available for meetings up to 10:00 AM PST (US overlap).

Atlassian Solution Engineer About Us Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We’re a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian. We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world’s largest brands deliver powerful digital experiences. As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you. Opportunity! We’re looking for a senior Atlassian Solution Engineer to play a critical role in shaping client solutions and driving successful engagements from presales through delivery. In this role, you’ll act as a technical solution advocate—partnering with clients to understand their challenges, designing scalable Atlassian-based solutions, and helping them realize measurable business outcomes. You’ll work at the intersection of sales, consulting, and architecture, influencing deal strategy while ensuring solutions are practical, scalable, and aligned to best practices. Desired attributes for the position include: - 6+ years in solutions engineering, consulting, or technical advisory (SaaS/enterprise software). - Expert in translating business requirements into scalable Atlassian-based solutions for customers. - Crucial Presales Support: Act as the primary technical lead in the sales cycle, supporting qualification and presenting the value of proposed solutions to clients. - Lead discovery workshops to define outcomes and solution architecture. - Design solutions across Jira, Confluence, and Jira Service Management (JSM). - Ability to extend JSM into comprehensive Enterprise Service Management (ESM) use cases (Incident, HR, etc.). - Experience delivering proof-of-concepts (POCs), prototypes, and technical validations. - Strong foundation in Agile, DevOps, and ITSM frameworks and best practices. - Advise on toolchain consolidation, workflow optimization, and platform modernization. Bonus points: - Experience with Atlassian Cloud Enterprise, advanced configuration, and automation. - Familiarity with Atlassian Intelligence (AI), automation rules, and emerging AI-driven workflows. - Atlassian Certifications (ACP) or Solution Partner experience. You’ll Love: - Owning high-impact work — Lead solution strategy and influence outcomes across enterprise deals - Solving complex problems — Help clients modernize workflows and unify fragmented toolchains - Blending strategy + execution — Design solutions that align technical capabilities with business goals - Driving ESM transformation — Extend Atlassian beyond IT into HR, Ops, and enterprise-wide use cases - Working in a high-caliber Atlassian practice — Collaborate with a team of experts deeply experienced across the Atlassian ecosystem - Having autonomy in a remote-first culture — Deliver meaningful impact with flexibility and ownership By joining our team, you’ll be part of a winning squad that plays to each other’s strengths and celebrates every success together.

• Leading, supporting and delivering quality work products to support our clients in a variety of industries • Generating instrumentation drawings • Creating P&IDs • Generating panel schematics and PLC loop diagrams • Generating shutdown keys and acting as a member of Hazop • Writing reports and communicating with customers • May be required to travel to job sites for field work, commissioning and support • Mentoring less experienced engineers and technologists within the team

• Lead end-to-end technical execution across the customer journey — from pre-sales discovery and demos through deployment and value realization• Build AI-powered workflows that improve multilingual content quality, speed, and efficiency• Own integrations and automation that embed Smartcat into enterprise systems• Partner cross-functionally to drive adoption, expansion, and long-term success• Serve as the technical lead for customer deployments from discovery through go-live• Own validation, testing, and go-live readiness to ensure workflows meet expected quality standards• Drive post-sale support, enablement, and adoption initiatives• Partner with Customer Experience (CX), Product, Engineering, and Account teams to deliver outcomes• Identify recurring customer needs and workflow gaps to influence roadmap priorities• Communicate clearly with both technical and executive stakeholders