Jobs

Engagement Terms: Full-time (~40 hrs/week) | 6-month initial contract (extension possible) 
Timezone Requirement: Strict overlap with U.S. working hours (EST–PST)
Availability: Immediate start or short notice / bench availability required
Schedule Constraint: Full-time only; no part-time or non-overlapping schedules

Role Summary

We are seeking a Senior Data Engineer to join a high-growth SaaS environment focused on building scalable data infrastructure and enabling ML/analytics workflows. The role is centered on designing and maintaining robust data platforms, supporting real-time and batch processing systems, and enabling data science and machine learning initiatives.

Technical Requirements (Recent 2–3 Years Hands-On Experience)

• Data Engineering: Apache Kafka (streaming), Apache Airflow (orchestration), advanced SQL, NoSQL databases
• Cloud & APIs: Strong AWS experience (preferred), API development experience
• Infrastructure: Docker, Kubernetes, Terraform / CloudFormation (IaC)
• CI/CD: Experience building and maintaining deployment pipelines
• Observability & Governance: Monitoring, logging, data quality, and governance frameworks

• Nice to have: ML pipelines, AWS SageMaker, OpenAI or LLM-based integrations

   

Key Responsibilities

• Design and implement scalable batch and streaming data pipelines
• Build and evolve data platform infrastructure supporting analytics and ML use cases
• Develop event-driven architectures using Kafka and secure API systems
• Collaborate closely with Data Science and ML teams to enable production-ready workflows

• Ensure data reliability, observability, governance, and system performance across platforms

   

Candidate Profile

• Proven expertise in Kafka, Airflow, and AWS-based architectures
• Experience building production-grade data platforms at scale
• Strong understanding of distributed systems and event-driven design
• Ability to work in fast-paced, product-driven environments

The company helps hotel chains like Hilton and Marriott transform front-desk staff into revenue generators through upselling training and analytics. Their IN-Gauge SaaS platform empowers frontline teams across 2,000+ properties in over 100 countries.

- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Implement scaling of the case detection process (scanner)
- Split API into multiple API services
- Emulate pubsub/cloud run locally
- Extract & process data using PySpark + S3 (Kafka/Kinesis — bonus)
- Write & optimize SQL on PostgreSQL/Redshift; use DynamoDB as data source/sink
- Run and debug ETL jobs on Glue or EMR; monitor via console/Spark UI

Must-have skills:
- Data engineering - 5 years, 
- AWS - 3 years (1 year latest project), 
- Spark/PySpark - 2 years (1 year latest project)
- English B2+

YozmaTech isn’t just another tech company - we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family - you’ll feel right at home with us.

Our client transform back-of-house tech for the hospitality industry, replacing outdated processes with AI-driven solutions. This helps top hotel brands focus on delivering exceptional guest experiences while ensuring efficient operations.

Key Requirements:

🔹 6+ years of full stack engineering experience;
🔹 Advanced proficiency in Node.js (5+ years) and at least 1 year of commercial experience with .NET (C#);;
🔹 Advanced proficiency in React and TypeScript;
🔹Experience working with high-scale and distributed systems;
🔹 Proficiency in leveraging AI tools to enhance engineering productivity, with specific hands-on experience using Claude Code;
🔹 Hands-on experience with SQL Server, PostgreSQL, MongoDB, or Redis;
🔹 Familiarity with frameworks like Express, NestJS, or ASP.NET Core;
🔹 Solid understanding of system architecture, automated testing, and security best practices;
🔹 Experience with Docker, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure);
🔹 Excellent communication and problem-solving skills; comfortable working in cross-functional teams;
🔹 Willingness to work in a role split approximately 60% backend and 40% frontend, with around 70% focused on new feature development and 30% on maintenance/bug fixes, including participation in on-call duties after the onboarding period.
🔹 English - Upper-Intermediate or higher.


Will be plus:

🔹 Experience with microservices architecture, GraphQL, or serverless functions;
🔹 Exposure to mobile development (especially React Native) or AI -based features;
🔹 Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, Pulumi);
🔹 Domain experience in hospitality, logistics, or supply chain tech;

What you will do:

🔹 Design, develop, and ship end-to-end features using React, Node.js, TypeScript, and .NET (C#);
🔹 Build and optimize scalable APIs and backend services using SQL and NoSQL databases;
🔹 Own technical decisions around performance, security, maintainability, and code quality;
🔹 Collaborate closely with product managers, designers, and other engineers to deliver impactful features;
🔹 Participate in and lead code reviews, design discussions, and DevOps improvements;
🔹 Mentor junior developers and help evolve our engineering best practices;


Interview stages:
🔹 HR interview;
🔹 Interview with VP R&D;
🔹 Semi Live-coding interview;
🔹 Tech interview - code review;
🔹 References;
🔹 Offer.

Job Summary

Our embedded software engineering team's mission is to craft reliable, high-performance solutions that reach millions of homes worldwide within the home security market. We follow agile development methodologies with regular sprint cycles, code reviews, and continuous integration practices. The team's established approach emphasizes comprehensive testing, rigorous security standards, and close collaboration with hardware engineering, product management, and customer support teams. We pride ourselves on writing clean, maintainable code and fostering a culture of knowledge sharing and technical excellence.

We're seeking a skilled C & C++ Embedded Engineer to take ownership of critical software components in our camera-based security devices. This role involves maintaining existing products through comprehensive debugging and bug fixing, as well as developing innovative new features.

Responsibilities and Duties

— Design, develop, and maintain high-quality embedded software in C and C++ for camera-based security devices.

— Debug and resolve complex software, hardware, and network connectivity issues across the entire software stack.

— Develop new features and improve existing codebases for the product line.

— Optimize software performance for resource-constrained embedded environments.

— Conduct code reviews and provide technical mentorship to team members.

— Participate in architecture discussions and technical decision-making processes.

— Collaborate with QA teams to develop comprehensive testing strategies.

— Document software designs, APIs, libraries, and troubleshooting procedures.

Qualifications and Skills

— Proven experience in embedded development, with expertise in C and C++ (C++17 standard) and deep knowledge of RTOS and microcontroller architectures (ARM, RISC-V).

— Proficiency in the full SDLC, including professional engineering practices like Git, CMake, code reviews, and continuous integration.

— Solid understanding of network programming and experience with multithreading on multicore microcontrollers.

— Expertise in communication interfaces (I2C, SPI, UART, and Wi-Fi) and experience writing device drivers and libraries.

— Hands-on experience with hardware troubleshooting and debugging tools (oscilloscopes, logic analyzers, etc.) and cross-compilation tool chains.

— Ability to work independently and take ownership of complex projects.

— Excellent communication skills for technical discussions and documentation, with a collaborative mindset for cross-functional team environments.

— At least an Intermediate level in both written and spoken English (B1).

Nice to have

— Understanding of security protocols and encryption methods

— Experience with Python for scripting and automation

— Experience using AI-powered tools to enhance productivity and code quality

We offer multiple benefits that include

— The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member.

— Competitive compensation and perks. Annual performance review.

— Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company.

— Gig-contract.

— 21 paid vacation days per year, paid public holidays according to Ukrainian legislation.

— Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves.

— Medical insurance is provided from day one. Sick leaves and medical leaves are available.

— Remote working mode is available within Ukraine only.

— Free meals, fruits, and snacks when working in the office.

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases,  implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.
 

Responsibilities:

• Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures.
• Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness.
• Build production-ready voicebot solutions integrating real-time speech processing pipelines.
• Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy.
• Design and deploy PROD-grade AI Agents that can scale up for various use cases.
• Fine-tune large language models using various techniques.
• Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies.
• Implement evaluation frameworks and metrics for LLM outputs and conversational quality.
• Develop custom training pipelines for domain adaptation and specialized use cases.
• Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing.
• Implement efficient vector databases and semantic search systems (Pinecone, Azure Search).
• Build monitoring and observability solutions for AI systems in production.
• Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies.
• Experiment with emerging models and frameworks to evaluate applicability to business problems.
• Contribute to technical documentation, best practices, and knowledge sharing within the team.
• Prototype and validate new AI capabilities through POCs and pilots.
   

Requirements:

• 5+ years of software engineering experience with focus on AI/ML engineering.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Deep hands-on experience with advanced RAG systems.
• Proven experience building conversational AI systems.
• Production experience with voicebot development.
• Expertise in TTS and STT technologies.
• Strong experience with LLM fine-tuning.
• Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Experience with MLOps tools and practices (MLflow, Weights & Biases, experiment tracking).
• Strong understanding of API design, microservices architecture, and system integration.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for a Lead Data Scientist who goes beyond building models and actively drives product and business impact. In this role, you’ll combine strong ML expertise, technical leadership, and a product mindset to deliver scalable, high-impact solutions. You will play a key role not only in what we build, but also in how we build it - shaping processes, standards, and delivery efficiency.

Responsibilities

Work closely with product and business teams to translate business challenges into data science solutions and research
Define clear success metrics and KPIs
Turn data insights into actionable recommendations
Ensure models deliver real business impact, not just technical performance
Design, build, and deploy machine learning solutions such as churn prediction, LTV modeling, player segmentation, and uplift modeling, owning the full lifecycle from experimentation to production
Establish and improve team processes, including end-to-end model lifecycle, code quality, documentation, reproducibility, and experimentation frameworks
Improve delivery efficiency by reducing time from idea to production and identifying opportunities to automate analytical workflows using AI and machine learning

Requirements5+ years of experience in Data Science, preferably in tech or gaming
Degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics
Analytical mindset with the ability to translate data into business insights
Experience working with large-scale data tools such as BigQuery, Spark, or Hive
Advanced SQL skills
Strong Python skills for data analysis and modeling
Experience with data visualization tools such as Tableau, Power BI, or Python libraries
Understanding of statistics and experimentation including A/B testing, hypothesis testing, and confidence intervals
Familiarity with causal inference techniques and predictive modeling
English level B2+
 

Nice to Have

Experience in iGaming
Understanding of player behavior and slot game mechanics
Strong product mindset with the ability to propose impactful solutions

Benefits

Opportunity to shape meaningful data products and influence business outcomes
25 vacation days, 15 sick days, and birthday leave
Budget for English classes and professional development
Health insurance budget
Remote-friendly culture with a small, high-impact team

Location: Remote (Europe)
Experience Level: 5+ years

About the Project
We are looking for a Senior Backend Developer (close to Architect level) to design and build core backend services for the ORA platform. The role is focused on secure cloud integration using KMIP and Barbican, with strong involvement in cryptography, Kubernetes, and open-source technologies.

Key Requirements

Must have:

• Senior-level experience in backend development with Java, Golang, or Python
• Proven hands-on experience in crypto-related projects (clearly visible in CV)
• Strong understanding of cryptography, including TLS and data encryption
• Practical expertise with Kubernetes (infrastructure and management layers)
• Experience working with OpenStack
• Solid background in unit and integration testing
• Experience designing and maintaining distributed systems and core backend services
• English level: Upper-Intermediate / Advanced (C1+)

Nice to have (at least one of):

• Experience with KMIP and key management systems
• Knowledge of Barbican or similar solutions
• Understanding of cloud convergence and ORA architecture
• Experience with microservices scalability and performance optimization
• Familiarity with open standards and open-source integrations

Tech Stack
Java, Golang, Python, Kubernetes, OpenStack, Unit Testing, Integration Testing

Responsibilities

• Design and develop core backend services for ORA
• Integrate with KMS via KMIP (e.g., Barbican, Ceph)
• Build and manage Kubernetes-based infrastructure (CRDs, operators, controllers)
• Implement secure communication using TLS and encryption mechanisms
• Collaborate with architecture and infrastructure teams
• Develop and maintain unit and integration tests
• Participate in architectural decisions and provide technical leadership

Azure Cloud & Security Engineer Remote — work from anywhere in Europe | Full-time contractor
 

If your idea of a good day involves tightening conditional access policies, investigating Sentinel alerts, and automating Azure deployments before lunch — this role is for you.

A global professional services company needs a senior engineer to own their Azure security and infrastructure. You’ll protect cloud workloads, harden identities, manage the Microsoft security stack end-to-end, and build the automation that keeps everything running. This is a security-first infrastructure role with real scope and autonomy.
 

What you’ll do

• Implement and monitor cloud security: Defender for Cloud, Sentinel SIEM, DLP, threat protection
• Manage identity security: Entra ID, conditional access, RBAC, hybrid AD, B2C
• Design and maintain Azure infrastructure: networking, compute, storage, microservices
• Secure and administer M365 (Exchange, SharePoint, Teams) including migrations
• Automate infrastructure with PowerShell, Terraform, and CI/CD pipelines
• Manage endpoint security via Intune, Autopilot, and CrowdStrike
• Respond to L3 security and infrastructure escalations
   

Tech stack

Azure (VMs, AKS, AVD, NSGs, Express Route, VPN) · Defender for Cloud & Endpoints · Sentinel SIEM · CrowdStrike · Entra ID & Hybrid AD · Intune & Autopilot · Microsoft 365 · PowerShell · Terraform · Azure DevOps · SQL/Cosmos DB · Windows Server · Linux
 

Must have

• 4+ years in Azure with strong security focus
• Hands-on with Microsoft security stack (Defender, Sentinel, conditional access, DLP)
• PowerShell automation and IaC experience
• Hybrid identity management
• Upper-Intermediate+ English
   

Nice to have

• Security certs (AZ-500, MS-500, SC-200)
• Azure infrastructure certs (AZ-104)
• DevOps tooling (Azure DevOps, GitHub Actions, Terraform modules)
• AI-assisted security operations (Copilot for Security)
• SIEM tuning and incident response experience
• Lelel 3 support experience (hands-on)
   

What we offer

• Fully remote across Europe
• Long-term, stable engagement — not project-based churn

• Autonomy in a small senior team

   

About Team

A global professional services company with a distributed IT team supporting operations across multiple regions and 3,000+ clients. You’ll have direct influence on security posture and infrastructure decisions.

Sound interesting? Send your CV. We’re looking for capability, not a perfect checklist match.

We're a 20-person team building a browser-native scientific data platform used by Novartis, J&J, Daiichi-Sankyo, and other top pharma and biotech companies. Our platform was already 10x faster than the competition and delivered more value for less — even before the AI era. Now, we're taking it to the next level.

We're competing with Spotfire, Certara, Dotmatics, and Schrödinger — and winning. How? By building faster and smarter. Our engineering team has fully embraced AI-driven development (Claude Code, agentic workflows, AI-assisted testing), and it's become our biggest force multiplier. We ship in weeks what used to take quarters.

We're looking for an engineering leader who's already living this way — someone who has hands-on experience with agentic development tools and can help lead a team that's pushing the boundaries of what a small, focused group can deliver. You'll report directly to the CEO and have real authority to shape how we build.

What you'll build and lead

This isn't a "manage meetings and write status reports" role. You'll own critical product areas and ship alongside the team. Here's what's on the roadmap:

• AI-powered agentic workflows — Autonomous scientific agents that utilize Datagrok's plugins and integrations as tools.
• Automated testing at scale — Automatic scenarios using Playwright + AI, AI-driven bug reproduction and fixing, stress tests, unit tests, system health tests, plugin tests - everything integrated into CI-CD and managed by AI
• Platform evolution — Cross-application integration and eventing mechanicm, ClickHouse as an analytical backbone, high-performance computations
• Enterprise integrations — Databricks connectivity (ADBC/Arrow for 2–10x speedups), HuggingFace model integration, and dashboard importers for Tableau and Spotfire migrations
• DevOps and infrastructure — ArgoCD deployments, Docker image management, containerized dev environments, and OpenTelemetry observability across a multi-layer stack
• AI-powered knowledge graph — mapping source code, features, tests, docs, and Jira tickets to enable impact analysis and agentic development workflows across the entire codebase
• Process improvements - code reviews, better planning/outcome system, DX improvements, onboarding for new developers

What we're looking for

Must have:

• You've already adopted autonomous agentic development in your own workflow (harnesses, tool-use architectures, AI-driven testing, etc)
• 5+ years as a strong engineer who still codes. This is a hands-on position
• Experience leading a team (formal title matters less than demonstrated leadership)
• Proficiency in TypeScript or Dart; comfort picking up new languages fast. Our core stack is Dart and TypeScript, with C++/WASM, Python, R, Julia, and Matlab in scientific plugins
• Track record of delivering complex software products — not just managing people who do
• You see a problem, you fix it. You don't write a proposal about fixing it. You don't wait for permission
• Strong communication skills and fluent English — you'll work directly with technical clients at pharma companies and present to enterprise IT teams

Strong pluses:

• Life sciences, cheminformatics, or bioinformatics background (or genuine curiosity about this space)
• Experience building agentic AI systems — not just prompting LLMs, but designing autonomous pipelines, harnesses, tool-use architectures, or AI-driven testing frameworks
• Background in high-performance computing, data visualization, or scientific computing
• Startup DNA — you've built things from zero, worn multiple hats, and thrive without a playbook

What we offer

• Real ownership — reporting directly to the CEO, you'll lead critical product areas for a platform deployed at top-10 pharma companies, not maintain someone else's legacy code
• An AI-first engineering culture — we're not "exploring AI adoption." We've already made the transition. You'll help take it further
• Direct client impact — your work will be used daily by scientists doing drug discovery at companies you've heard of
• Startup speed, enterprise clients — the autonomy and pace of a small team, with the validation of Fortune 500 deployments
• Fully remote, zero bureaucracy, flexible hours, unlimited PTO
• Competitive compensation with growth equity opportunity
• Paid training and certifications

About the job

ProxyScrape empowers businesses with seamless, scalable, and ethical access to publicly available web data. Our proxy and data-access infrastructure supports thousands of companies across eCommerce, cybersecurity, research, and advertising — delivering reliability, performance, and global scale.

We are a fast-growing, bootstrapped, and profitable tech company built around speed, automation, and impact. We move quickly, ship often, and value people who take ownership and push things forward.

We are now looking for a Lead Software Engineer to lead our Dev/Product team — someone who combines deep hands-on engineering experience with leadership, architectural thinking, and product-oriented mindset.

This is a senior, execution, high-impact role. You’ll be the technical backbone of all of our core products, helping define architecture, execution pace, and long-term technical direction. We are looking for builders who lead by doing — not coordinators.

Your Mission

You will act as the technical leader and execution driver for the company, while also leading AI and automation initiatives across all company departments - engineering, product, support, sales, marketing, and operations.

Your mandate is to identify where AI and automation can meaningfully improve speed, accuracy, scalability, and decision-making, and to turn those opportunities into practical, measurable outcomes.

 

• Own architecture and technical decisions across core products and internal systems
• Drive AI and automation adoption across all departments to streamline workflows, reduce friction, and accelerate outcomes
• Identify repetitive, manual, or error-prone processes and replace them with smarter, automated, or AI-assisted solutions
• Push execution forward by removing bottlenecks and accelerating delivery through better tooling and systems
• Bring structure, clarity, and realistic timelines to the engineering team
• Act as a bridge between product, engineering, leadership, and go-to-market teams

This role sits between Tech Lead, Product-minded Engineer, and Execution Owner. You will help define what we build, how we build it, how fast we move, and how technology and AI amplify the effectiveness of the entire organization.

Key Responsibilities

• Lead the engineering team by setting standards, reviewing architecture and code, removing blockers, and ensuring reliable delivery.
• Contribute to product direction by translating business needs into technical solutions and aligning roadmap decisions with technical constraints.
• Design and scale platform architecture across data, services, and infrastructure, balancing performance, reliability, and delivery speed.
• (Optional) Drive innovation in anti-bot systems, including fingerprinting and protection bypass strategies, to strengthen platform resilience.
• Guide DevOps and SRE practices, including CI/CD, deployments, scaling, and monitoring to maintain system reliability.
• Build and grow the team through hiring, mentoring, and improving workflows and collaboration.

What You Bring:

Proxy & Scraping Experience (Mandatory)

• Minimum 2 years of proven, hands‑on production experience with proxy systems and web scraping — not experiments, not side projects
• Demonstrated track record architecting, operating, and scaling proxy‑based or scraping infrastructures in real businesses
• Deep practical understanding of IP rotation strategies, session persistence, fingerprinting, CAPTCHA / bot mitigation, and unblock flows
• Experience optimizing success rates, latency, reliability, and cost across large‑scale data extraction pipelines
• You have owned scraping or proxy systems end‑to‑end: design, implementation, monitoring, and iteration

Mindset & Leadership Traits

• Minimum 2-3+ years of proven technical leadership or ownership experience (Tech Lead, Staff Engineer, or equivalent — titles matter less than impact)
• You thrive in fast‑moving startups where ambiguity is normal and execution matters more than process
• You take full ownership of outcomes — architecture, delivery, quality, and timelines
• Strong independent decision‑making: you don’t wait for permission to improve systems
• You actively mentor engineers, raise the bar, and expect high standards
• Product‑driven mindset: you care about user impact, business value, and velocity — not just elegant code
• Comfortable operating across engineering, product, and leadership without hand‑holding
• Naturally proactive: you identify risks, bottlenecks, and opportunities early and act on them
• You build structure where none exists and simplify complexity
• Curious and practical about AI adoption, tooling, metrics, and KPIs to continuously increase development speed and team effectiveness

Technical Foundation

• 5+ years of engineering experience building high‑load backend or data platforms
• Strong hands‑on experience with Go 
• Solid backend experience with PHP
• Frontend proficiency with React and Next.js
• Proven experience designing, building, and integrating APIs
• Solid experience with Redis, queues, and message brokers
• Strong DevOps background: Docker, Kubernetes, Helm, CI/CD pipelines, and observability
• Hands‑on experience with Linux system administration in production environments
• Strong understanding of HTTP, TLS, HTTP/2, proxies, browser internals, and CDP
• Familiarity with networking fundamentals (DNS, TCP/IP) and request optimization
• Fluent English (documentation and communication are in English)

Why Join ProxyScrape

• Build one of the company’s core products from the ground up
• High autonomy and real influence on architecture, product, and team direction
• Work directly with CEO-level leadership on strategy and execution
• Competitive compensation package
• Remote-first flexibility
• Budget for conferences, learning, and work tools
• Join a lean, ambitious team where execution beats bureaucracy

This is a rare opportunity to become the technical leader behind a high-impact data infrastructure product and help shape its future at scale.

If you’re excited by ownership, complexity, and building real systems — we’d love to talk.
 

Apply now and help define the future of ProxyScrape’s scraping platform.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product, with additional support for local installations. You will take ownership of designing and implementing the cloud infrastructure in the early stages of deployment, setting the foundation for how the platform will operate. The product is fully Kubernetes-based, so strong expertise in cluster management, automation, and container orchestration is essential. Because the system is high-load, ensuring reliability is the top priority. In addition, a significant part of the role involves contributing to an open-source product, developing features that benefit both the community and the platform itself.

Key Responsibilities

• Design and maintain cloud infrastructure in GCP or AWS, covering compute, storage, networking (VPCs, subnets, routing), IAM, and managed databases, using Terraform.
• Operate and manage Kubernetes clusters, including cluster administration, workload orchestration, ingress/gateway configuration, and developing custom Helm Charts.
• Build and maintain CI/CD pipelines with GitHub Actions, ArgoCD, following GitOps practices for consistent deployments.
• Implement monitoring, logging, alerting, and tracing with Prometheus, Loki and Grafana, ensuring system observability and reliable incident response.
• Design and secure cloud networking, including VPC architectures, load balancers, service meshes, and Bastion host access, while applying strong security practices.
• Collaborate with engineering teams to refine deployment strategies, improve reliability, and support smooth delivery of new features.

Qualifications

Must-Have

• Kubernetes – strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts.
• Terraform – proven experience managing infrastructure as code and operating environments on GCP.
• Cloud platforms – solid knowledge of GCP or AWS core services, including compute, storage, and managed databases.
• Cloud networking – experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity.
• Infrastructure security – practical experience with IAM, secrets management, TLS, encryption, and policy enforcement in production environments.
• CI/CD workflows – experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD.
• Databases and messaging – operational knowledge of Postgres, MongoDB, Redis, and streaming platforms such as Kafka.
• Observability – hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing.
   

Nice-to-Have

• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers.
• Experience contributing to or maintaining open-source products.
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Ownership & Equity: Competitive compensation, including significant equity in an early-stage, high-growth startup.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role focuses on building a SaaS product, with additional support for local installations. You will take ownership of designing and implementing the cloud infrastructure in the early stages of deployment, setting the foundation for how the platform will operate. The product is fully Kubernetes-based, so strong expertise in cluster management, automation, and container orchestration is essential. Because the system is high-load, ensuring reliability is the top priority. In addition, a significant part of the role involves contributing to an open-source product, developing features that benefit both the community and the platform itself.

Key Responsibilities

• Design and maintain cloud infrastructure in GCP or AWS, covering compute, storage, networking (VPCs, subnets, routing), IAM, and managed databases, using Terraform.
• Operate and manage Kubernetes clusters, including cluster administration, workload orchestration, ingress/gateway configuration, and developing custom Helm Charts.
• Build and maintain CI/CD pipelines with GitHub Actions, ArgoCD, following GitOps practices for consistent deployments.
• Implement monitoring, logging, alerting, and tracing with Prometheus, Loki and Grafana, ensuring system observability and reliable incident response.
• Design and secure cloud networking, including VPC architectures, load balancers, service meshes, and Bastion host access, while applying strong security practices.
• Collaborate with engineering teams to refine deployment strategies, improve reliability, and support smooth delivery of new features.

Qualifications

Must-Have

• Kubernetes – strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts.
• Terraform – proven experience managing infrastructure as code and operating environments on GCP.
• Cloud platforms – solid knowledge of GCP or AWS core services, including compute, storage, and managed databases.
• Cloud networking – experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity.
• Infrastructure security – practical experience with IAM, secrets management, TLS, encryption, and policy enforcement in production environments.
• CI/CD workflows – experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD.
• Databases and messaging – operational knowledge of Postgres, MongoDB, Redis, and streaming platforms such as Kafka.
• Observability – hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing.
   

Nice-to-Have

• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers.
• Experience contributing to or maintaining open-source products.
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Ownership & Equity: Competitive compensation, including significant equity in an early-stage, high-growth startup.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

About Teramind

Teramind is the leading platform for user behavior analytics, serving multiple use cases from insider risk mitigation to business process optimization. With our comprehensive suite of solutions, organizations gain unprecedented visibility into user activities while enhancing security, optimizing productivity, and ensuring compliance. Trusted by Fortune 500 companies and businesses of all sizes across industries, our innovative platform helps organizations protect sensitive data, maximize workforce performance, and create safer, more efficient digital workplaces. Through real-time monitoring and advanced analytics, we enable businesses to safeguard their most sensitive information while optimizing employee productivity in both in-office and remote work environments.

Our Core Values

At Teramind, our values drive everything we do. We embrace innovation as a fundamental principle, constantly pushing boundaries to improve our products, streamline processes, and enhance customer experiences. We foster resourcefulness by empowering our team members with the autonomy and confidence to solve problems independently while providing collaborative support when needed. As a globally inclusive organization, we celebrate diversity and create an adaptable work culture where respect and collaboration thrive across our international teams. Above all, we are committed to excellence, delivering the highest quality in every aspect of our work and consistently exceeding expectations in service to our clients and each other.

Key Responsibilities 

Security in the SDLC

• Own and enforce DevSecOps practices across CI/CD pipelines (SAST, DAST, SCA, and other practices)
• Integrate automated security tooling into development workflows; reduce manual security gates
• Partner with development teams to perform secure code reviews and threat modeling

Vulnerability & Risk Management

• Drive vulnerability identification, triage, and remediation across infrastructure and applications
• Manage security tooling stack
• Produce and maintain a risk register; track remediation SLAs

Penetration Testing, crowd testing & Incident Response

• Lead or coordinate internal/external penetration testing cycles
• Manage crowd testing campaigns
• Develop and maintain an incident response playbook; support incident investigations

Compliance & Governance

• Support compliance with SOC 2, ISO 27001, GDPR, and relevant data protection frameworks
• Define and enforce security policies, standards, and developer security training

Leadership & Collaboration

• Act as the primary security SME for the engineering organization
• Mentor developers on secure coding practices; build a security-first engineering culture
• Interface with external auditors, clients, and the executive team on security posture

Requirements

• 5+ years of experience in DevSecOps, application security, or security engineering
• Demonstrated experience managing security in software development environments (not just ops/infrastructure)
• Strong development background, proficiency in at least 1 language (eg: Python, Go, Java, C#)
• Hands on experience with CI/CD security tooling (SAST/DAST/SCA integration, secrets management)
• Experience with cloud security (AWS, Azure, or GCP) and container security (Docker, Kubernetes)
• Familiarity with SOC 2 or ISO 27001 compliance frameworks
• Excellent English communication skills (written and verbal)

Preferred/Nice to Have

• Penetration testing experience or relevant certification (OSCP, CEH, GPEN)
• Security certifications (CISSP, CSSLP, AWS Security Specialty, or similar)
• Experience at a B2B SaaS or cybersecurity product company
• Familiarity with insider threat, DLP, or endpoint security product domains

Why join us?

• Opportunity to shape the technical vision of a fast-growing company.

• Work alongside talented engineers solving challenging problems.

• Influence not just the codebase, but also the culture and processes of the engineering organization.

Benefits

This is a remote job. Work from anywhere! We’ve been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.

Additionally:

• Collaboration with a forward-thinking team where new ideas come to life, experience is valued, and talent is incubated.

• Competitive salary

• Career growth opportunities

• Flexible paid time off

• Laptop reimbursement

• Ongoing training and development opportunities

About our recruitment process

We don’t expect a perfect fit for every requirement we’ve outlined. If you can see yourself contributing to the team, we want to hear your story. You can expect up to 3 interviews. In some scenarios, we’re able to streamline the process to have minimal rounds. Director-level roles and above should expect a more thorough process, with multiple rounds of interviews.

All roles require reference and background checks

Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.

We are seeking a high-impact Senior SEO Manager to spearhead organic growth for our global platform. This role requires a blend of high-level strategic architecture and the ability to oversee the core Middle-level operational functions that keep an international platform healthy and competitive.

Key Functions & Responsibilities

1. Senior Strategic Leadership

• Roadmap Architecture: Define the 12-month organic growth strategy, aligning SEO goals with overarching business KPIs.
• AEO & AI Integration: Lead the transition into "Search 2.0" by optimizing for AI-driven engines (ChatGPT, Perplexity, Gemini) and managing AI crawler budgets.
• Technical Advocacy: Act as the primary liaison for the engineering department, ensuring SEO requirements are integrated into the product development lifecycle.

2. Core Middle SEO Operations (Tactical Execution)

• Technical Auditing: Perform regular, deep-dive technical crawls  to identify and resolve indexation issues, 404 errors, and redirect loops.
• On-Page Optimization: Execute systematic updates to meta-tags, header structures, and internal linking across thousands of international URLs.
• Keyword & Intent Mapping: Conduct continuous keyword research to identify emerging trends, mapping them to specific stages of the user journey.
• Preparing technical tasks for authors: experience in preparing tasks for writing highly specialized texts for the content team, taking into account organic growth goals.
• SERP Monitoring: Track daily fluctuations in rankings across multiple regions and languages, providing rapid-response troubleshooting for any sudden traffic drops.
• Backlink Maintenance: Monitor the backlink profile for toxic patterns and coordinate with the content team to identify "linkable asset" opportunities.

3. Data & Reporting

• Performance Analysis: Extract and visualize data from GA4 and GSC to report on month-over-month growth.
• A/B Testing: Design and execute SEO split tests (e.g., testing title tag formats) to validate hypotheses before site-wide rollout.

Requirements

• Experience: 5+ years in SEO, with at least 3 years in a Senior or Lead capacity managing international projects.
• Technical Stack: Proficiency in HTML/CSS/JS, SQL (preferred), and advanced Excel/Looker Studio.
• Semantic Mastery: Deep understanding of E-E-A-T and JSON-LD structured data.
• Languages: Advanced English language skills are required
• Project Management: Ability to manage a high volume of "Middle SEO" tasks while maintaining a "Senior SEO" strategic mindset.

The "Edge" (Bonus Skills)

• Experience in Healthcare/Medical SEO (YMYL).
• Academic background in Computer Science or IT.
• Familiarity with Edge SEO (Cloudflare Workers/CDNs).

What We Offer

• 100% Remote: Global flexibility.
• Full-Time: 40 hours per week.
• Work-Life Balance: 28 days of paid annual leave.
• Stability: The security of a profitable, large-scale European company.

How to Apply

Please submit your resume and a portfolio of achievements. We are specifically looking for examples where you successfully balanced high-level strategy with the rigorous daily execution required of a Middle SEO Manager.

Our client is a global leader in infrastructure software, specializing in enterprise API management and digital integration. 

They are looking for a driven professional to help shape the next stage of their core product and deliver tools that make a real impact on how businesses connect in the digital world.

About the Position:

We are hiring a Senior QA Automation Engineer to serve as the quality and testing expert within a fast-paced platform engineering team, ensuring the reliability of API management systems and integration technologies.

Please note: We are currently considering candidates based in Eastern Europe only. Good Java proficiency is a strict requirement for this role.

Responsibilities:

- Define and drive the overall testing strategy aligned with platform architecture and integration needs.
- Mentor engineers on automation best practices and maintain high quality standards across all software layers.
- Collaborate with DevOps, Product, Engineering, and client-facing teams to continuously improve product quality.
- Design and maintain automated and manual test suites for APIs, data stores, and service mesh components.
- Build and optimize test frameworks and CI/CD pipelines for Kubernetes and microservices environments.
- Lead performance and load testing using JMeter, Gatling, or k6, and identify risks and coverage gaps proactively.
- Develop deep knowledge of the platform stack, including Java services, Envoy proxies, Valkey, and MongoDB/PostgreSQL.

Requirements:

• Based in Eastern Europe (mandatory).
• 5+ years in QA / SDET roles 
• Strong Java skills (mandatory)
• Hands-on experience with API testing (REST, gRPC), including contract testing and mocking
• Proven track record in building automation frameworks for microservices
• Experience with Redis/Valkey, MongoDB, PostgreSQL
• Familiarity with Kubernetes and containerized environments
• Solid understanding of the test automation pyramid
• Experience with performance testing tools (JMeter, Gatling, k6)
• Strong debugging, problem-solving, and communication skills

• Agile/Scrum experience

   

Working Hours: Aligned with Ireland Timezone (GMT/IST).

Benefits:

- Fully Remote: Work from anywhere alongside a global, multicultural team.
- Competitive Pay: Attractive USD compensation package with comprehensive benefits.
- Flexible Schedule: Build a working routine that suits your lifestyle.
- Home Office Support: All necessary hardware and software provided.

Join our team! Help us build scalable, high-quality systems 🚀