Middle Backend Engineer — Go / Proxy Infrastructure (Node.js, Rust)

Nebius Academy is a global AI education platform dedicated to empowering individuals and organizations to master artificial intelligence, machine learning, and generative AI.

Nebius Academy combines deep technical expertise with a vision for AI-powered education, supporting both individuals aiming to upskill for new career paths and companies pursuing innovation at scale. Through a vibrant global community, Nebius Academy bridges the skills gap and accelerates the responsible adoption of AI, ensuring that both professionals and organizations are equipped to lead in an era of constant technological change.

• Build and evolve our Internal Developer Platform, helping engineering teams move from merge request to production faster and more reliably.
• Own and develop our monorepo, keeping applications, shared libraries, and infrastructure coherent as the codebase and engineering organization grow.
• Build and improve CI/CD pipelines, including incremental builds, automated deployments, and tooling that makes shipping software simpler and faster.
• Automate the creation and setup of new services, including infrastructure, Helm charts, alerts, dashboards, and deployment pipelines.
• Build internal tools and automations that improve developer experience and engineering productivity across product teams.
• Treat engineers as your users: identify what slows them down, gather requirements, and turn those problems into scalable platform solutions.
• Measure and improve build times, deployment duration, performance, and reliability, fixing root causes rather than symptoms.
• Codify engineering conventions through linting, type checks, CI gates, and automation instead of relying on manual processes.
• Work hands-on across application code and infrastructure, using technologies such as Python, Go, AWS, Kubernetes, Helm, Terraform, GitLab CI, ArgoCD, Postgres, Kafka, and Grafana.
• Work closely with SRE, QA, and product engineering teams on reliability, observability, performance, and quality.
• Make pragmatic architectural decisions and evaluate trade-offs around scalability, maintainability, developer experience, and delivery speed.

• 5+ years of engineering experience. Python preferred; real depth in Java, C#, Kotlin or Go is a heavy plus. Ideally, you are comfortable with Python alongside at least one other backend language.
• Understanding and production experience with Kubernetes, Helm, Terraform, Docker, AWS and CI systems.
• Deep understanding of product development — how teams plan, ship, maintain, and troubleshoot features.
• A track record of building tooling and pipelines other engineers rely on, and real care for developer experience.
• Performance work grounded in measurement — metrics, traces and query plans rather than intuition.
• Architectural judgement in trade-offs rather than rules, avoiding both early overengineering and painted-in corners.
• Comfort in a large shared repository, and clarity about its trade-offs.
• Ability to work with a high degree of autonomy — clarify ambiguous requirements, identify what needs to be done, propose solutions, and take ownership through implementation rather than relying on detailed task specifications.
• Agile ways of working, and real investment in team processes, mentoring, and collective growth.
• A strong learning and team mindset: curiosity, willingness to grow beyond your current area of expertise, and readiness to contribute where it creates the most value for the team.
• Fluent Russian, and English at B2 level or above.

• A supportive and proactive work environment.
• Competitive compensation: 5000-7000 USD Gross per month
• Fully remote and full-time collaboration.
• Modern digital tools for seamless collaboration.
• Tangible results measured by student success.

About the Role 

As a Senior Forward Deployed Engineer, you will be the technical owner for some of the most complex and strategic customer accounts. You will lead the technical approach, make clear decisions in ambiguous situations, and help customers get real value from the platform in complex enterprise environments. 

You will work across deployment, integration, automation, and solution design. You will also handle deep technical escalations and build reusable patterns, tools, and playbooks that help the wider Forward Deployed Engineering team move faster and deliver more consistently. 

This is a hands-on senior engineering role. You will work directly with customer executives, security and privacy leaders, business stakeholders, and technical teams. You will turn complex data, security, privacy, and AI needs into practical solutions that can scale. 

What You'll Do 

• Own technical delivery for the most complex customer accounts, from deployment through scaled, everyday use 

• Lead deployments across hybrid environments, including cloud, on-premises, Kubernetes, containers, Linux, and related infrastructure 

• Define solution architecture for customers with complex data estates, security needs, and business requirements 

• Adapt platform behavior when standard configuration does not fully match the customer’s data, workflows, or risk model 

• Build and operate integrations across customer systems, including identity, SIEM, ITSM, data platforms, APIs, and downstream tools 

• Diagnose and resolve deep technical issues across data, deployment, infrastructure, and integration layers 

• Build reusable agents, automations, tools, and playbooks that help the broader FDE team deliver faster and with higher quality 

• Turn manual customer outcomes into repeatable workflows for remediation, alerting, reporting, and operational follow-up 

• Lead architecture and design sessions with customer executives, security and privacy leaders, business teams, and engineers 

• Mentor other FDEs by reviewing solutions, sharing patterns, and helping unblock complex technical work 

• Partner with Sales Engineering, Product, and Engineering on strategic POCs, customer escalations, and product feedback from the field 

What You'll Bring 

• 8–12+ years of experience in deeply technical, customer-facing roles, such as forward-deployed engineering, solutions engineering, platform engineering, or technical consulting 

• Strong software engineering skills in at least one language, such as Python, Go, or TypeScript, with the ability to read unfamiliar code and understand complex systems quickly 

• Hands-on experience with Kubernetes, containers, Linux, and cloud platforms such as AWS, Azure, or Google Cloud 

• Experience deploying and operating solutions across complex cloud, hybrid, and on-premises enterprise environments 

• Strong understanding of APIs, system integration, SQL/NoSQL data stores, and structured or unstructured data 

• Experience building practical technical solutions, such as data pipelines, custom classifiers, integrations, automations, agents, or internal tools 

• Strong fluency with AI-native developer tools, agents, and automation, including creating reusable workflows that help others move faster 

• Strong customer presence, with the ability to build trust with executives, business leaders, and engineering teams 

• Working knowledge of data security, privacy, and regulatory topics across industries and geographies 

• High ownership, strong critical thinking, and the ability to bring structure to complex problems without a clear playbook 

Bonus Skills 

• Experience with DSPM, CSPM, DLP, data governance, privacy platforms, or related security domains 

• Experience building or heavily using AI agents, agentic coding assistants, MCP, or RAG systems 

• Familiarity with regulatory frameworks such as GDPR, SOC 2, or ISO 27001, especially across multiple geographies 

• Experience with enterprise data platforms such as Snowflake, Databricks, or BigQuery 

• Knowledge of access control, encryption, masking, or other data protection controls in enterprise data systems 

• Experience mentoring senior technical contributors or setting delivery standards in fast-paced, distributed teams 

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