WE ARE AMDARIS

We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022 and our future is even bigger. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.

Role Overview

We are looking for a Principal Engineer to own the architecture, development, and evolution of our content development and distribution pipelines across a multi-platform LMS landscape. You will drive the adoption of AI-assisted content generation workflows, design agentic systems that reduce manual effort at scale, and serve as a hands-on technical lead for a small, high-impact engineering team.

Key Responsibilities

–Design, build, and maintain robust content development and distribution pipelines that serve a diverse LMS ecosystem (e.g.H5P, SCORM/xAPI standards).
–Design and implement agentic AI workflows for automated and semi-automated content generation, curation, tagging, and quality assurance.
–Rapidly prototype new capabilities using AI-native tooling (LLM APIs, vector stores, embedding pipelines) to validate ideas before full-scale engineering investment.
–Lead and mentor a team of 4–6 engineers through technical design, code review, and day-to-day engineering delivery.
–Define and enforce standards for content schema, metadata, versioning, and pipeline observability.
–Partner with product, instructional design, and data teams to translate learning content requirements into scalable technical solutions.
–Evaluate and integrate third-party content and AI services, ensuring compliance with data governance and privacy standards.
–Drive continuous improvement for pipeline reliability, latency, and throughput.

Position Requirements

–8+ years of software engineering experience, with at least 3 years in a senior or principal-level role owning complex data or content pipelines.
–Deep experience with LMS platforms and content standards (H5P, SCORM, xAPI/Tin Can, LTI).
–Proven track record designing and operating agentic or multi-step AI workflows using LLMs (e.g. OpenAI, Anthropic, Gemini), orchestration frameworks (e.g. LangChain, LlamaIndex, CrewAI), and tool use / function calling patterns.
–Strong prototyping instincts — comfortable building working proof-of-concepts quickly with AI coding assistants and modern tooling, then handing off or scaling the result.
–Experience leading small engineering teams: setting technical direction, running design reviews, and growing engineers through coaching and feedback.
–Proficiency in at least one backend language (Python, Node.js, or Java/Kotlin) and familiarity with cloud-native infrastructure (AWS, GCP, or Azure).
–Solid understanding of content storage, CDN distribution, and asset management at scale.
–Clear communicator who can translate technical trade-offs for non-technical stakeholders.

Nice to have

–Experience in EdTech or corporate learning environments at scale.
–Familiarity with RAG (Retrieval-Augmented Generation) architectures for content search and personalization.
–Exposure to fine-tuning or evaluation frameworks for AI-generated educational content.
–Understanding of accessibility standards for digital learning content (WCAG, Section 508).

Core Technologies

Python / Node.js · LLM APIs · LangChain / LlamaIndex · H5P / SCORM / xAPI · LTI · Vector stores · Cloud (AWS / GCP / Azure) · CDN & asset pipelines · REST / GraphQL · CI/CD

About Sisense

Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data into faster, smarter, actionable decisions for over 2,000 global customers across financial services, retail, healthcare, and technology.

With the recent launch of Sisense Intelligence (Intelligence Assistant, MCP server, Managed LLM), we are accelerating innovation in embedded analytics at scale.

The Role

As a DevOps Engineer, you will play a key role in designing, building, and maintaining the scalable, reliable infrastructure that powers Sisense’s AI-powered embedded analytics platform. You will work on cloud-native environments, CI/CD pipelines, automation, monitoring, and production stability — helping ensure our platform delivers high performance and developer experience at scale.

This is a hands-on role with significant ownership and impact on both internal development velocity and customer-facing reliability.

Key Responsibilities

• Design, implement, and maintain scalable infrastructure for our SaaS platform using modern cloud-native technologies.
• Build and improve CI/CD pipelines, automation tools, and deployment processes to increase development velocity and reliability.
• Own production environments: monitoring, troubleshooting, performance tuning, and incident response.
• Work closely with development teams to support infrastructure needs for new features and services.
• Research, evaluate, and introduce new tools and technologies to improve platform efficiency and observability.
• Develop and maintain Infrastructure as Code (Terraform, Crossplane, Helm, Argocd, etc.).
• Collaborate on improving observability, logging, and alerting across distributed systems.
• Participate in a rotating on-call schedule to provide 24/7 coverage for incident response and production support.

Requirements

• 4–6+ years of hands-on DevOps or SRE experience.
• Strong proficiency with Kubernetes and cloud platforms (AWS, Azure, or GCP) AWS preferred.
• Solid experience with Infrastructure as Code tools (Terraform /crossplane / Terragrunt, Helm, argocd).
• Excellent Linux systems knowledge and scripting skills (Bash, Python, or Go preferred).
• Experience building and maintaining CI/CD pipelines and automation frameworks (gitlab-ci ,github-actions and jenkins).
• Deep familiarity with monitoring tools (fluentd , fluent-bit, promethus and grafana stack , opentelemetry )
• Strong problem-solving and troubleshooting skills in high-scale production environments.
• Good communication skills and ability to work effectively in a remote, distributed team.
• Advanced English.

Nice to Have

• Experience with Node.js / TypeScript environments.
• Familiarity with multiple linux distros (ubuntu-debian , redhat , oracle)
• Background in data-intensive or analytics platforms.
• Familiarity with OpenTelemetry, monitoring tools, or distributed tracing.
• Experience supporting customer-facing SaaS platforms at scale.

Why Join Sisense

This is a high-impact role where you’ll work on the infrastructure behind cutting-edge embedded AI analytics. You’ll join a talented global engineering team, enjoy competitive compensation, meaningful equity, and the opportunity to solve complex technical challenges in a fast-growing company.

If you’re a strong DevOps Engineer who loves building reliable, scalable systems and wants to work on AI-powered data solutions, we’d love to hear from you.

SENIOR DEVOPS ENGINEER – AWS

We’re growing rapidly and are looking for Senior DevOps to embark on an international software development project. We want everyone to build a career they can be proud of and will support you in your development from day one. 

WE ARE AMDARIS

We fuse together exceptional talent who deliver outstanding software solutions our blended model of resources across Europe.
We are growing  and we are now looking for a Senior DevOps Engineer (AWS) to embark on an international project and work with the latest technologies alongside the brightest minds in a collaborative and energetic work environment. We are offering stimulating salaries plus a great range of benefits, including the opportunity of building and enhancing yourself a successful career within a highly reputable organization. A great team mentality is essential, with the ability to lead by example and promote good team spirit and collaboration.

As a Senior Growth Analyst at Readdle, you'll own the numbers behind how Spark grows and proactively discover opportunities and validate the impact of initiatives. From the first ad impression to long-term renewals, you'll make sense of the data, design event structures, and ensure everything is measurable. You'll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to discover product & growth opportunities, trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve reports that enable stakeholders to answer key questions with data and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design, sequence, and monitor A/B experiments and feature launches; validate results and ensure statistical rigor & consistent long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with discoveries from data and impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with measurement vendors to meaningfully track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience working on user acquisition, pricing, monetization, and/or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau/Looker/etc. for reporting and complex data visualization and product analytics tooling. Amplitude/Mixpanel/Heap/Hotjar/PostHog for event/property tracking and user journey tracking.
• Experience with marketing attribution platforms (Appsflyer/Adjust/Kochava/etc.); familiarity with Python/R for data analysis and automation. Experience with ML or time-series inference is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), marketing analytics (incl. attribution, MMM, incrementality testing, etc.), statistics, experimentation, and experience with segmentation and modeling churn or LTV. Demonstrable advanced analytics experience (causal inference, quasi-experiments, linear programming, econometrics, etc.) is highly advantageous for the role.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Solid business acumen. Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.