Jobs at Djinni

I'm looking for a hands-on Tech Lead who can both build and lead — someone who drives technical decisions, writes production-grade code, and helps a team deliver scalable, high-quality systems.

You’ll play a key role in shaping the platform architecture, guiding engineers, and working closely with product and data teams to turn complex ideas into reliable solutions.

This role is ideal for someone who thrives in data-heavy, cloud-native environments and has experience with AI-driven systems and modern backend architecture.

🧠 What You’ll Do

• Own and drive the technical vision, architecture, and roadmap
• Lead a team of engineers: code reviews, mentoring, technical guidance
• Design and build scalable microservices, APIs, and user-facing components
• Work across the full lifecycle: design → development → deployment → maintenance
• Collaborate with product, data, and business teams to deliver real outcomes
• Integrate and scale AI/LLM-based components (e.g. Google Cloud, Vertex AI, Gemini)
• Ensure high standards in code quality, testing, and system reliability
• Improve performance, security, and observability across the platform
• Contribute to product direction and identify technical opportunities
  
   

🛠️ Requirements

• 8+ years in software engineering
• 3+ years in a Tech Lead or Team Lead role
• Strong experience with distributed systems / data-intensive platforms
• Hands-on with:
  • Python
  • Microservices architecture
  • React (or modern frontend frameworks)
  • Cloud platforms (GCP preferred)
• Experience building and scaling LLM-based systems, including:
  • RAG pipelines
  • Long-running workflows
  • Conversation memory
• Familiarity with:
  • AI evaluation & output validation
  • Observability tools (e.g. Langfuse, LangSmith)
  • Cost optimization for LLM usage
• Strong understanding of:
  • Scalability, performance, reliability
  • CI/CD, automated testing, TDD/BDD
• Proven ability to lead teams in agile environments
• Fluent English and strong communication skills
  
   

➕ Nice to Have

• Experience with OCR, NLP, or document processing systems
• Background in fintech or regulated industries
• Knowledge of DDD, event-driven architecture, C4 modeling
   

🌍 What We Offer

• Flexible work format (remote / hybrid / office)
• Competitive compensation package
• Learning support (courses, certifications, internal knowledge sharing)
• Team events and company perks

Overview

We are looking for an experienced Project Manager for Data Transformation to lead a large‑scale migration program for our client. The role focuses on transitioning data from legacy OSS/BSS and rollout systems to modern cloud platforms including Salesforce, ServiceNow, and IQGEO.

The Project Manager will drive strategy, coordinate cross-functional teams, and ensure seamless data cutovers with minimal business disruption.

Key Responsibilities

Program Leadership

• Lead the end-to-end data transformation and migration program across OSS, BSS, and rollout environments.
• Define and maintain the transformation strategy, roadmap, timeline, and key deliverables.
• Own all transformation-related communication as the single point of contact.

Execution & Coordination

• Coordinate cross-functional teams including ETL, data validation, architecture, and business stakeholders.
• Oversee cutover planning, ensuring accuracy, readiness, and continuity throughout the transition.
• Ensure data quality, integrity, and compliance during all transformation phases.

Governance & Stakeholder Management

• Monitor project progress and manage risks, issues, and dependencies.
• Provide executive-level reporting on status, milestones, risks, and mitigation actions.
• Facilitate alignment between technical teams and business units.

Required Skills & Experience

Must-Have Qualifications

• Proven experience in data migration or data transformation project management.
• Strong understanding of OSS/BSS landscapes, processes, and transformation methodologies.
• Demonstrated ability to manage complex, multi-system cutovers with minimal disruption.
• Excellent communication, stakeholder engagement, and planning skills.
• Experience working with Salesforce, ServiceNow, IQGEO, or similar cloud-based platforms.
• Background in telecommunications, network rollout, or related industries.

Soft Techies is an early-stage software agency building scalable, modern solutions for startups and growing businesses. We’re looking for a passionate Golang Engineer who enjoys building backend systems and working in a fast-paced, collaborative environment.
 

What You’ll Do

• Build and maintain high-performance backend services using Golang
• Design and integrate APIs and microservices
• Work with cloud infrastructure and containerized environments
• Work with frontend and DevOps to deliver end-to-end solutions
   

Preferred Skills

• Golang
• Kubernetes (K8s)
• Node.js
• AWS or GCP
   

Good to Have

• Experience with React or Vue.js
• Knowledge of other modern tech stacks and tools
   

Why Soft Techies?

• Work in a fast-growing, early-stage environment
• Real impact on product and technical direction
• Opportunity to grow with the company
   

If you love building scalable systems and want to grow with a young tech agency, we’d love to hear from you!

We are looking for a hands-on growth marketer who will take ownership of marketing execution, help drive product growth, and contribute to building scalable acquisition channels.

This role is ideal for someone who wants to have real impact on product growth and grow into a marketing leadership role in the future.

Role Overview

You will work across multiple marketing channels, test growth hypotheses, and help build a sustainable growth engine for the product.

This is a practical, execution-focused role — we are looking for someone who is comfortable working hands-on with marketing tools and channels, not only defining strategy.
 

Responsibilities:

• Launch and optimize marketing channels
• Test growth hypotheses and run experiments
• Analyze performance and improve ROI
• Work with different acquisition channels
• Collaborate with the existing marketing team

As the product grows, you will have the opportunity to take on more ownership and lead marketing direction.
 

Marketing Channels

• SEO
• SMM (LinkedIn, X / Twitter, Telegram)
• Community management
• Affiliate / partner programs
• Performance marketing (paid ads)
• Email marketing
 

Requirements:

• Experience in growth marketing for SaaS or B2B products
• Hands-on experience with marketing channels
• Understanding of product-led growth and acquisition strategies
• Ability to test hypotheses and work with data
• Strong execution mindset
 

What We’re Looking For:

• Someone who is proactive and growth-driven
• Comfortable doing things руками, not только управлять
• Interested in building and scaling marketing systems
• Motivated to grow into a leadership role
 

Nice to Have:

• Experience in B2B SaaS
• Experience with technical or developer-oriented products
 

Work Format

• Remote
• Full-time
• Europe market

We're a boutique software company building custom ERP systems for clients across healthcare, food manufacturing, fintech, and e-commerce. Our solutions help businesses streamline complex processes — and we build them with care, using modern technologies and close collaboration with clients.

As we take on more projects at different stages, we're looking for a developer who can step into an active team, get up to speed quickly, and start making a real contribution early on. If you're someone who adapts well to new contexts — whether it's a different codebase, domain, or team dynamic — this could be a great fit.

Tech stack

• .NET Core
• EF Core
• MSSQL
• Angular
• DevExtreme
• Cloud platforms

Who we're looking for

• Solid hands-on experience with .NET Core and Angular (6 years of experience)
• Experience working on ERP or business management systems
• Ability to onboard quickly and contribute meaningfully from early on
• Good communication in English (B2 or above)
• Openness to working across different domains and teams

What we offer

• Fully remote with flexible schedule
• Long-term, stable engagement
• International, mostly Ukrainian team
• Minimal bureaucracy and management overhead
• Growing organisation — we've doubled in size over the past year
• Work on meaningful, production ERP systems in real industries

Hi 🙌

We are looking for a skilled Strong Junior Full-Stack Developer with core expertise in Front-End development (React) and experience in Back-End (NestJS) to join us for long-term cooperation.  

You will strengthen our team in developing a comprehensive CRM platform for marketing agents. This is a key operational product for managing marketing agents who buy advertising. The platform integrates accounting, reporting, and budget tracking into a single system, helping our client effectively scale his business.

🛠 How You’ll Contribute:

• Work closely with our designer to implement modern user interfaces using React, TypeScript, and Ant Design.
• Develop admin dashboards and management interfaces for various business operations, including CRM interfaces for marketing services.
• Build user-facing features for platform management, budget tracking, and detailed marketing analytics.
• Implement real-time updates and notifications for system status, campaign operations, and agent activities.
• Occasionally assist in maintaining backend services using Node.js/ NestJS.
• Create or modify simple APIs for internal tools and work with data models.
• Work with PostgreSQL databases to manage business data and ensure correct data flow between the server and UI.
• Collaborate with a team and participate in technical decision-making.

🎯 What Makes You a Perfect Fit:

• 2+ years of experience with full-stack development(frontend focus).
• Strong React skills with modern hooks, state management (Redux/Context API), and TypeScript.
• Good experience with Node.js and NestJS for backend development.
• Experience with REST APIs, authentication, and data validation.
• Good understanding of PostgreSQL and database design principles.
• Experience working with designers and implementing UI/UX designs.
• Experience with version control (Git) and collaborative development.
• Understanding of modern CSS/styled-components and frontend tooling.
• English proficiency for technical communication.

👍 Nice-to-Haves:

• Experience building CRM systems, fintech platforms, or marketing tools.
• Understanding of high-load systems, microservices architecture, and Docker.
• Experience with testing frameworks (Jest, React Testing Library).
• Experience with Ant Design components and theming.

 🧰 Our Tech Stack:
React, NestJS, Node.js, TypeScript, PostgreSQL, microservices, Docker, AWS, CI/CD pipelines, high-load architecture, and provider APIs.

 🚀 Hiring Process:
The hiring process is clear and concise. It starts with a 30–40 min intro call with a Talent Partner — an opportunity to learn more about the project, Umber, and the team, as well as to discuss the candidate’s experience.
Next comes a technical interview (~1.5 hours) covering both React and Node.js. The final step is a ~30 min conversation focused on managerial topics and organizational details.

We are looking for a strong SEO Specialist to join our team.

This role is for someone who is not only technically capable, but also highly professional, reliable, and easy to work with. For us, soft skills matter even more than technical skills. We want a mature, thoughtful person who communicates clearly, takes responsibility, stays calm under pressure, and works well inside a team.

You will work on a range of SEO tasks including technical audits, on-page optimization, semantic research, content planning, and collaboration with developers, content teams, and project managers. We value people who can think critically, prioritize properly, and solve problems without drama.

What matters most to us:

• Strong communication skills
• Accountability and ownership
• Ability to work in a team
• Common sense and emotional stability
• Respectful and professional attitude
• Willingness to learn and improve
• Attention to detail
• Solid SEO foundation

We are building a team of smart, dependable people who are pleasant to work with and serious about results.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Full-Stack AI Platform Engineer to join our team and help build, maintain, and scale AI-powered interactive products.
This is a hands-on role for an engineer who owns deployment, infrastructure, real-time systems, and AI-service integration end to end. You will work on production systems that combine web applications, real-time communication, Kubernetes-based backend services, and GPU-hosted AI pipelines.
The core of this role is production reliability and deployment ownership — keeping live systems stable, responding to incidents, and integrating AI models into scalable real-time infrastructure. Frontend work exists but is secondary: the team has a designer and uses AI-assisted tooling for UI iteration.

Responsibilities:
- Own deployment, environment management, and release workflows across Kubernetes-based, Railway-hosted, and other cloud infrastructure.
- Respond to production incidents, perform rollbacks, and restore service stability, including outside business hours.
- Deploy and operate AI inference services on GPU platforms such as Modal or RunPod and integrate them into real-time product flows.
- Build and maintain real-time communication and async processing flows, including LiveKit-based session infrastructure.
- Work with TypeScript / JavaScript and Python application code in production environments.
- Support database-backed product features, schema evolution, and migration workflows.
- Improve observability, logging, monitoring, and incident debugging workflows.
- Contribute to frontend and backend product functionality as needed, using AI-assisted tooling where appropriate.
- Maintain clear and up-to-date documentation for every product, service, and integration, including architecture diagrams, API contracts, deployment procedures, and environment configuration.
- Ensure every new feature is discussed, scoped, and agreed upon before implementation begins. No undocumented or uncoordinated changes to production systems.
- Collaborate with engineering and product stakeholders to clarify requirements, identify risks, and ship practical solutions.

Required skills:
- Strong hands-on experience with TypeScript (Node.js) and Python for production backend development.
- Solid experience with Kubernetes, Helm, and container-based deployment workflows.
- Experience with real-time systems: WebSocket-based communication, session lifecycle management, and event-driven flows.
- Experience deploying and operating AI inference services on GPU platforms such as Modal, RunPod, Replicate, or similar.
- Experience integrating LLM-based services, voice AI APIs, or media-processing pipelines into production systems.
- Experience debugging distributed or multi-service systems, including reading logs across multiple services and environments.
- Comfort with production ownership: incident response, rollbacks, and on-call responsibility.
- Solid understanding of backend APIs, service integration, and system design.
- Experience with PostgreSQL and ORM-backed schema management and migrations.
- Sufficient frontend experience to ship and deploy UI changes with AI-assisted tooling.
- Ability to work independently and bring structure to ambiguous technical situations.
- Strong written and verbal English communication skills.
- Experience using AI-assisted coding tools (e.g., Cursor, GitHub Copilot, Gemini) for faster development and iteration

Nice to have:
- Hands-on experience with real-time audio/video systems such as LiveKit or similar platforms.
- Experience with avatar, video rendering, or real-time media processing pipelines.
- Experience with frameworks and tooling such as TanStack Start, Nitro, or Vite.
- Familiarity with vector databases or embedding-based retrieval (pgvector or similar).
- Familiarity with Python ML stacks such as PyTorch or CUDA-based GPU inference.
- Experience with voice AI pipelines involving services such as ElevenLabs or Deepgram.
- Experience with CI/CD pipelines such as Jenkins, GitHub Actions, or similar.
- Experience with Next.js and Nx monorepo environments.
- Experience with GraphQL / Apollo or similar API integration patterns.

What we value:
- Strong ownership and reliability, especially in production.
- Pragmatic engineering judgment: shipping something stable beats over-engineering.
- Comfort with production responsibility and debugging under pressure.
- Ability to move across backend, infrastructure, and frontend without losing clarity.
- Clear communication, honest estimation, and practical execution.
- Documentation discipline: if it is not written down, it does not exist.

What we offer:
- Real impact: your content will directly attract new clients.
- Mentorship and growth.
- Freedom to experiment and test new formats.
- Flexible schedule and a remote-first culture.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Key Responsibilities: 

• Email Marketing: 
  • Create, schedule, and optimize engaging email campaigns for various purposes (nurture, announcements, promotions) from inception to deployment.
  • Collaborate closely with the marketing team to develop and implement new email templates and ensure brand consistency. 
  • Monitor email performance metrics (open rates, click-through rates, conversions) and recommend improvements. 
• Landing Pages & Forms: 
  • Design, build, and optimize high-converting landing pages and forms within HubSpot, ensuring seamless user experience.
  • Work with the marketing team to ensure all landing pages align with brand guidelines and campaign objectives.
  • Conduct A/B testing on landing page elements to maximize lead generation.
• Campaigns & Attribution: 
  • Set up new marketing campaigns within HubSpot, ensuring all necessary assets (emails, landing pages, forms, CTAs) are linked correctly. 
  • Ensure proper attribution tracking is in place for all content-related touchpoints to measure marketing impact. 
  • Develop and present clear campaign attribution reports to showcase the full customer journey and marketing's influence on pipeline and revenue. 
  • Fully understand campaign influence in HubSpot and identify marketing touchpoints that influence leads and revenue. 
• Segmentation: 
  • Develop and manage targeted audience lists based on marketing team needs, leveraging existing data and collaborating with the data team. 
• CTAs (Calls-to-Action): 
  • Develop, implement, and continuously test HubSpot CTAs to improve conversion rates across various marketing assets. 
• Personalization Features: 
  • Leverage HubSpot’s smart content and dynamic email features to create highly personalized user experiences and increase engagement. 
  • Contribute to the overall personalization strategy. 
• UTM Tracking & Ad Spend: 
  • Create and manage UTM tracking parameters for all campaigns to ensure accurate source attribution. 
  • Monitor and report on paid media performance and budget utilization within HubSpot, linking ad spend to campaign performance. 
• Marketing Events (Support): 

  • Support marketing events by creating registration pages, confirmation emails, and engagement tracking mechanisms within HubSpot. 

     

Qualifications: 

• 3+ years of hands-on, in-depth experience with HubSpot Marketing Hub, demonstrating proficiency across campaign execution, automation, reporting, and data management. 
• Proven ability to design and optimize engaging email campaigns and high-converting landing pages. 
• Strong understanding of email marketing best practices, segmentation, and lead nurturing. 
• Strong understanding of campaign attribution models, with proven experience in measuring marketing impact on pipeline and revenue. 
• Proven experience with UTM tracking and linking paid media data to HubSpot for comprehensive reporting. 
• Familiarity with A/B testing methodologies for continuous optimization. 
• Excellent collaboration skills, with a proven ability to work effectively with marketing, creative, and data teams. 
• Strong communication skills, both written and verbal, particularly when explaining technical concepts or data insights. 
• HubSpot certifications (e.g., Inbound Marketing, Email Marketing, Content Marketing, Marketing Software, Reporting and Analytics) are highly desirable.
• Readiness to work from 15:00 till 23:00 in order to have an optimal overlap of work hours with USA based teams.

We offer

• Comfortable working place;
• Medical insurance after the trial period ending;
• Team-building activities;
• 24 paid vacation days per year;
• 5 paid sick leave days per year.

Key Responsibilities: 

Data Management and Reporting: 

• Ensure data integrity within HubSpot, identifying and rectifying any inconsistencies or inaccuracies. 
• Generate regular reports on marketing performance, sales and marketing campaign effectiveness, and lead quality. 
• Provide actionable insights and recommendations based on data analysis to drive marketing strategy. 
• Obsession with reporting and curiosity about results and ways to leverage metrics and insights to inform future strategies  
• Web analytics knowledge and tracking for various reporting needs (Google Analytics, Tag Manager, UTM’s for campaign tracking) 

HubSpot Management: 

• Configure and maintain HubSpot for seamless lead generation, tracking, and analytics. 
• Create and manage workflows, lists, and segmentation to automate marketing processes and increase efficiency. 
• Collaborate with the sales & marketing teams to ensure accurate data capture and lead management within HubSpot. 
• Regularly monitor and analyze key performance metrics to identify opportunities for improvement. 

Campaign management: 

• Track campaign performance, lead progression, and revenue attribution to optimize campaign effectiveness. 
• Ability to think and present strategically, understanding how analytics and insights data can optimize marketing and sales’ activities and strategy  
• Collaborate with the sales and marketing teams to align campaigns with overall marketing strategies. 

Marketing Automation: 

• Implement and maintain marketing automation processes, including email marketing, lead nurturing, and lead scoring. 
• Utilize HubSpot's automation features to personalize communication and improve lead engagement. 

Team Collaboration: 

• Collaborate with cross-functional teams, including sales, marketing and data teams, to align goals and execute marketing initiatives. 
• Train and mentor team members on HubSpot and marketing automation best practices. 
• Foster a culture of continuous learning and growth within the marketing team. 

Required Qualifications: 

• Proven experience (2+ years) as a Marketing Operations Manager or similar role. 
• 2+ years experience with HubSpot, including certifications (HubSpot Certified is a plus). 
• Experience with Hubspot for tracking marketing and sales activities throughout the marketing and sales funnel (leads, opportunities, campaigns, lead scoring, attribution, building dashboards, executive reporting, etc.). 
• A true builder mentality with a ‘roll up the sleeves’ mentality and hands-on approach.  
• Data extraction, transformation, and analysis skills (Excel, SQL experience and Data Manipulation and Visualization). 
• Demonstrated success in planning and executing marketing campaigns 
• Strong analytical skills with the ability to interpret data and make data-driven decisions. 
• Proficiency in marketing automation tools and practices. 
• Excellent project management and organizational skills. 
• Strong communication and leadership abilities. 
• Readiness to work from 15:00 till 23:00 in order to have an optimal overlap of work hours with USA based teams.

We offer

• Comfortable working place;
• Medical insurance after the trial period ending;
• Team-building activities;
• 24 paid vacation days per year;
• 5 paid sick leave days per year.

Key Responsibilities 

Website Performance & Conversion Optimization 

• Own end-to-end website performance, with direct accountability for conversion rates, page speed (targeting 85+ Google PageSpeed score), Core Web Vitals, and post-launch error rates. 
• Lead CRO strategy including A/B testing frameworks, landing page optimization, and user journey improvements. 
• Analyze heatmap data across top-trafficked pages on fmgsuite.com and the blog; deliver optimization recommendations based on user engagement signals. 
• Proactively identify and propose revenue-generating web initiatives, not just respond to inbound requests. 

Analytics & Reporting 

• Own and maintain GA4 properties and dashboards; deliver monthly web analytics reporting covering traffic sources, top landing pages, organic and AI-driven growth, page views, and conversion rates. 
• Establish and maintain a monthly web health reporting cadence using GTmetrix and similar tools. 
• Report on heatmap insights on the first Monday of each month and web performance metrics on the last Monday of each month. 
• Build and maintain Google Tag Manager to support conversion tracking, working alongside our agency and internal stakeholders to support paid media tracking needs. 
• Provide actionable insights tied to business outcomes, not just traffic metrics. 

Web Infrastructure & Quality Assurance 

• Own web infrastructure health: error monitoring, uptime, and proactive issue detection. 
• Implement and enforce a thorough QA process for all releases to ensure zero broken components in production. 
• Maintain a clear, transparent roadmap of web improvements, technical debt, and optimization initiatives. 
• Document recurring issues and build processes to prevent repeat failures. 

Strategy & Stakeholder Leadership 

• Develop and maintain a CRO and web improvements roadmap tied explicitly to revenue growth. 
• Lead web strategy discussions with marketing leadership, presenting optimization ideas with supporting data and projected impact. 
• Establish monthly and quarterly performance goals with clear KPIs; self-report progress consistently. 
• Serve as the subject matter expert on web performance across the marketing team, educating stakeholders and providing clear status updates. 

Required Qualifications 

• 4+ years of experience in website management, digital marketing, or web optimization roles with demonstrated ownership of web performance outcomes. 
• Proven track record of running CRO programs, A/B testing, and heatmap analysis that produced measurable conversion improvements. 
• Strong command of GA4, Google Search Console, GTmetrix, and Google Tag Manager. 
• Hands-on experience with heatmap and user behavior tools (e.g., Hotjar, Microsoft Clarity, or similar). 
• Demonstrated ability to own and report on web KPIs including conversion rates, lead generation metrics, page speed, and traffic growth. 
• Experience managing website releases with a structured QA process and low post-launch error rates. 
• Strong analytical mindset with the ability to translate data into prioritized, actionable recommendations. 
• Excellent communication skills, including the ability to present results, surface issues proactively, and articulate tradeoffs to both technical and non-technical stakeholders. 
• A genuine builder mentality: proactive, self-directed, and revenue-focused rather than task-oriented. 
• Readiness to work from 15:00 till 23:00 in order to have an optimal overlap of work hours with USA based teams.

Preferred Qualifications 

• Experience with HubSpot and integrating website analytics with marketing automation platforms. 
• Familiarity with AEO (Answer Engine Optimization) and AI-driven search visibility strategies. 
• Working knowledge of SEO fundamentals including on-page optimization, site architecture, and keyword strategy. 
• Experience managing microsites or multiple web properties. 
• Familiarity with UX design tools such as Figma for collaboration with design and development teams. 
• Experience in B2B SaaS or demand-driven growth environments. 

We offer

• Comfortable working place;
• Medical insurance after the trial period ending;
• Team-building activities;
• 24 paid vacation days per year;
• 5 paid sick leave days per year.

As a DevOps, you will play a vital role in ensuring the smooth operation and optimization of our network of IoT devices and Linux server infrastructure. Your expertise will be crucial in planning, provisioning, implementing automation, and safeguarding the security and performance of our systems.

Responsibilities:

Perform Linux system administration tasks, including server setup, configuration, and maintenance.

Monitor server performance, resource utilization, and troubleshoot potential issues to ensure optimal operation.

Implement security measures, configure firewalls, and manage user permissions to ensure robust system security.

Develop and maintain automation scripts using Bash or Python to streamline repetitive tasks and improve efficiency.

Collaborate with the development team to set up and maintain Continuous Integration/Continuous Deployment (CI/CD) pipelines for software deployment and testing.

Manage network configurations, interfaces, and routing to maintain seamless connectivity.

Set up and maintain monitoring and log analysis tools for proactive system monitoring and issue detection.

Implement backup strategies and disaster recovery plans to safeguard data and ensure business continuity.

Collaborate with cloud infrastructure if applicable, and maintain a cohesive hybrid environment if required.

Stay up-to-date with the latest trends and technologies in the Linux and DevOps domain, incorporating relevant innovations into our infrastructure.

Requirements:

2 years.

User Management Service.

RADIUS (LDAP).

Proficient in Linux system administration, with hands-on experience in aarch64 architecture.

Strong scripting skills in Bash, Python for automation and configuration management.

Familiarity with configuration management tools such as Ansible

Experience with networking concepts, protocols (TCP/IP, DHCP, DNS), and firewall configurations.

Knowledge of monitoring tools like Nagios, Zabbix, or Prometheus, and log management tools like ELK stack is advantageous.

Prior exposure to CI/CD pipelines and Git version control is desirable.

Ability to analyze and troubleshoot complex technical issues, providing effective solutions.

Strong security mindset with the ability to implement robust security measures.

Proactive and adaptable, able to thrive in a dynamic startup environment.

Communication and teamwork skills, collaborating effectively with cross-functional teams.

We are hiring a Senior DevOps Engineer for a fast-growing product company building a scalable cloud-based platform. The system handles real production workloads and requires a strong focus on reliability, automation, and performance across the entire infrastructure layer.

The platform is built as a cloud-native system running on GCP, with modern CI/CD pipelines, containerized services, and infrastructure as code. The engineering team is focused on delivering high-quality software with strong operational excellence, while continuously improving system scalability and resilience.

In this role you will take ownership of the DevOps domain, working closely with engineering teams to design, implement, and maintain infrastructure and deployment pipelines. You will play a key role in ensuring system stability, security, and performance, while driving automation and best practices across the organization.

Responsibilities

• Design and maintain scalable, secure, and highly available cloud infrastructure on GCP

• Build and manage CI/CD pipelines using GitHub Actions

• Automate software delivery and deployment processes end-to-end

• Implement monitoring, logging, and alerting systems to ensure reliability and performance

• Collaborate with development teams to optimize applications and troubleshoot production issues

• Drive infrastructure as code practices using Terraform

• Enforce security best practices across infrastructure and services

• Automate operational workflows to reduce manual effort and improve efficiency

• Participate in on-call rotations and resolve critical production incidents

• Mentor engineers and contribute to overall DevOps maturity

Tech Stack

• Cloud: GCP

• CI/CD: GitHub Actions

• Containers: Docker, Kubernetes

• Infrastructure: Terraform

• Scripting: Python, Bash, JavaScript

• Monitoring: Prometheus, New Relic

Requirements

• 5+ years of experience in DevOps or infrastructure engineering

• Strong hands-on experience with GCP in production environments

• Solid experience building and maintaining CI/CD pipelines

• Strong knowledge of containerization and orchestration using Docker and Kubernetes

• Experience with infrastructure as code using Terraform

• Strong understanding of networking and security principles

• Experience with scripting and automation

• Ability to troubleshoot complex production issues

• Strong communication skills and ownership mindset

Nice to Have

• Experience building custom Terraform providers

• Background in microservices architecture

• Experience with SQL or NoSQL databases

• Experience with performance optimization and system tuning

• Relevant cloud certifications

This is a long-term opportunity to work on a production-grade system with real scale, strong engineering standards, and a focus on reliability and automation. You will have direct impact on infrastructure decisions and the overall DevOps strategy of the company.