Jobs

We are looking for a Cyber Defense Manager to lead, mature, and operate our resilient security operations capability. In this role, you will own the defense of our environment, ensuring fast and precise threat detection, investigation, containment, and exposure reduction. You will lead our security operations function, making the organization faster in responding to threats while continuously improving controls across the attack surface.

Responsibilities

• Own Cyber Defense execution across SOC, detection engineering, incident response, and exposure remediation
• Lead alert triage quality, escalation standards, incident command, and response coordination
• Prioritize critical vulnerabilities and exposures using asset criticality, exploitability, and business impact
• Manage Cyber Defense dashboards, runbooks, remediation follow-up, and operational metrics
• Coordinate with IT, Platform, IAM, Product, GRC, Legal, and business owners during incidents and remediation
• Build and develop the Cyber Defense team, including hiring, onboarding, mentoring, and retaining security talent
• Drive continuous improvement of detection coverage, response playbooks, and security controls based on lessons learned and threat intelligence
• Report on Cyber Defense performance, incidents, and risk posture to security leadership and stakeholders

Requirements

• 10+ years of experience in Information Security
• 3+ years in a security management or team lead role with direct people management experience
• Hands-on experience managing SOC operations, leading incident command, and driving MTTD/MTTR improvement
• Ability to design, validate, and maintain detection logic across SIEM, EDR, and cloud platforms, with a deep understanding of runbook development and false-positive reduction
• Knowledge of top attack scenarios (ATO, credential theft, privilege escalation, data exfiltration) and ability to map detections to threat models like MITRE ATT&CK
• Experience prioritizing vulnerabilities using CVSS and asset criticality to reduce exposure aging
• Hands-on experience with at least one enterprise SIEM (Splunk, Microsoft Sentinel, Chronicle, Elastic) and SOAR tooling
• Understanding of cloud-native security controls and monitoring in AWS, GCP, or Azure
• Understanding of IAM, PAM, SSO, and identity-related attack vectors relevant to detection and response
• Ability to define, track, and communicate security KPIs and operational dashboards to technical and executive audiences
• English - Upper-Intermediate or higher

Will be a plus

• Experience in fintech, e-commerce, or other high-risk industries with complex threat landscapes
• Hands-on background as a SOC analyst, incident responder, or detection engineer prior to moving into management
• Experience building a SOC or Cyber Defense function from scratch or significantly maturing an existing one
• Familiarity with threat intelligence platforms and threat-informed defense methodologies
• Relevant certifications: CISSP, CISM, GIAC (GSOM, GCED, GCIH) or equivalent

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical budget
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a senior data engineer with deep Databricks experience to own the data platform behind one of our largest enterprise accounts and lead its migration from AWS to Databricks.

About the role

Data infrastructure is the foundation of everything we deliver. Our models, dashboards, and the decisions our clients make on top of them are only as reliable as the pipelines underneath, which is why we put the platform first.

You will join a small senior team working inside the client's environment. Through the rest of 2026 you will take ownership of the existing pipelines and the architecture around them. From 2027 you will lead the migration to Databricks: designing the target architecture, planning the cutover, and doing the implementation. This is a hands-on engineering role with real architectural authority. You decide how the platform gets built, and then you build it.

You will be the person the team turns to on anything Databricks, working alongside senior machine learning engineers and data scientists who depend on what you deliver.

What you will do:

• Design and build the target Databricks architecture, and plan the migration from the current AWS stack
• Build and maintain production data pipelines: ingestion, transformation, and orchestration
• Own data quality, including the checks and alerts that catch problems before the client does
• Design the data models the analytics and machine learning work sits on
• Support the pipelines you build: monitoring, alerting, and the on-call reality of production data
• Work directly with the client's engineers, and explain technical decisions to people who are not engineers

Requirements:

• Five or more years in data engineering or software development
• At least three years of production Databricks work
• Deep experience with Spark, Delta Lake, and Unity Catalog
• Has planned and executed at least one migration onto Databricks from another platform, and can walk through the challenges
• Expert Python: clean modular code, comfortable with optimization and profiling
• Advanced SQL and relational database work: raw SQL, data modeling, scripted migrations
• Systems design: how storage and compute fit together, end to end pipelines, containerized applications
• Cloud operations on AWS or equivalent: networking, identity and access management, monitoring and alerting, and the domain knowledge for why things break
• Comfortable working inside a client's environment, with their data and their constraints
• Strong written English, and spoken English good enough to present your work
• Available for some overlap with United States working hours

Nice to have:

• Databricks certification
• Deep AWS experience specifically, since that is the platform we are migrating from
• dbt, Airflow, or a similar transformation and orchestration framework
• Machine learning pipeline experience, since models run on top of what you build
• Background in utilities, energy, telecoms, or another regulated industry
• Experience being the senior engineer a client relies on directly

You are:

• Careful with data quality, and you ask when something looks wrong instead of guessing
• A self starter who can turn a general requirement into a specific estimate and a deliverable
• Someone who documents. We write things down, and every number we deliver carries its source
• Comfortable in a small remote team where nobody is checking your hours

About Bennett Data Science

We have spent ten years building predictive analytics and data science for enterprise clients, from some of the largest companies in the world to startups in Silicon Valley. Our engineers sit inside the client's systems and build critical systems. The work ships to production and lands at the bottom line.

What we offer:

• Competitive compensation, reviewed as you grow
• Work from anywhere, with a flexible schedule
• A small senior team, so your work is visible and your decisions are important
• Direct exposure to enterprise clients and the problems they actually have
• Mentorship from senior staff, and the space to grow and mentor others

We are looking for a Senior Java Solutions Architect to join a technical discovery and risk assessment engagement, working closely with a UK-based cybersecurity and architecture team on a large enterprise Java estate.

Project: A ten-week discovery and technical assessment engagement for a UK enterprise client, focused on mapping Java runtime usage and dependency risk across an estate of roughly 200 Java endpoints and close to 9,000 related findings.

Responsibilities:

• Build and maintain the Java runtime inventory, confirming actual usage across environments
• Identify components that are unused and removable, that require updating, or that require formal risk acceptance
• Confirm Log4j and Tomcat dependency chains and determine whether they share a common vendor product blocker
• Interpret Veracode Software Composition Analysis (SCA) output to produce an application bill of materials
• Confirm which applications genuinely bundle vulnerable components and assess whether the vulnerable code path is reachable
• Identify components with no direct upgrade path and define remediation options

• Collaborate with client-side architecture and security teams to validate findings and assumptions

   

Requirements:

• 7+ years of experience in Java platform engineering across multiple runtime generations and vendors (Oracle JDK/JRE, JRockit, OpenJDK, Azul, Corretto)
• Hands-on experience upgrading application servers and servlet containers, primarily Apache Tomcat; exposure to WebSphere is a plus
• Proven experience remediating Log4j/Log4Shell exposure in production, including cases where the component is embedded in a third-party product
• Experience resolving transitive dependency and classpath conflicts where the upgrade path is blocked by vendor versioning
• Familiarity with Veracode or a comparable software composition analysis tool
• Strong analytical mindset, able to work confidently with incomplete or conflicting source data

• Upper-Intermediate English or higher

   

What We Offer:

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations

B2B, remote, long-term cooperation. 

About the Role

The company is developing a consumer commerce platform that combines real-time 3D interactions with the purchase of physical products, including a real-money wallet and operational workflows. The technology stack is built entirely around TypeScript. The engineering team is small and experienced, working closely with the CTO. This role is for a highly experienced individual contributor to take technical ownership of backend architecture across a customer-facing web product, an internal operations platform, and supporting services. A key part of the role involves systems where correctness and reliability have direct financial impact, such as wallet and ledger functionality, transaction settlement, verifiable outcome generation, and fulfillment workflows. The platform uses an event-driven architecture within a TypeScript monorepo, including Fastify BFF services, asynchronous workers, shared domain components backed by PostgreSQL, MongoDB for analytics, Valkey for caching, RabbitMQ for messaging, and S3-compatible storage with CDN. Infrastructure runs on AWS ECS with infrastructure-as-code and automated CI/CD. You will work closely with the CTO on architectural direction and platform evolution.
 

Responsibilities

• Take ownership of architectural decisions across backend services, including service boundaries, data ownership, idempotency, outbox patterns, caching, and failure handling.
• Document important technical decisions and revisit them as requirements and system constraints evolve.
• Design and evolve financially sensitive functionality, including double-entry wallet accounting, payments and withdrawals, inventory settlement, and auditable outcome-generation mechanisms.
• Work across layers when necessary, from database schemas and Drizzle migrations through domain logic, Fastify APIs, asynchronous consumers, and React interfaces.
• Provide technical leadership for the internal operations platform supporting catalog, fulfillment, finance, and customer-support workflows.
• Establish engineering standards around contract-first APIs, deterministic testing, database migrations, and code-review quality.
• Mentor other engineers while maintaining a hands-on individual-contributor role.
• Own production reliability through observability, incident response, capacity planning, performance analysis, and ongoing reliability improvements.
   

Requirements

• 8–9+ years of professional software engineering experience, including several years with direct responsibility for architecture and technical decisions in production systems.
• Proven experience defining service boundaries, selecting appropriate storage technologies, and scaling production systems.
• Practical understanding of capacity planning, caching strategies, database connection management, performance bottlenecks, and production debugging.
• Ability to evaluate architectural trade-offs such as consistency vs. availability, synchronous vs. asynchronous communication, caching vs. source-of-truth access, and build vs. buy decisions.
• Strong server-side engineering background with Node.js/TypeScript, .NET, or Java. Engineers coming from .NET or Java should be comfortable transitioning to TypeScript.
• Deep experience with relational databases, including schema design, transactions and isolation levels, indexing, and migrations of live production systems.
• Experience using document databases and caching systems where they provide clear advantages alongside relational storage.
• Production experience with event-driven architectures, message brokers, idempotent processing, outbox patterns, and delivery guarantees.
• Experience owning financially sensitive systems such as payments, billing, ledgers, trading, or similar transaction-heavy functionality.
• Ability to document architectural decisions clearly and challenge technical assumptions when necessary.
   

About the Company

The company is a lean product team developing a consumer commerce platform that combines real-time 3D interactions with the purchase of physical products. The product also includes a real-money wallet and operational workflows for order processing and fulfillment. Their technology stack is built entirely around TypeScript. The engineering team is small and experienced, with engineers working closely with and reporting directly to the CTO, allowing for fast communication and decision-making.

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'll own the design and implementation of cloud infrastructure from the early stages, setting the foundation for how the platform operates.

The product is fully Kubernetes-based - a multi-tenant fleet of private GKE clusters on GCP, provisioned with Terraform and reconciled by ArgoCD from our own Helm charts. Strong expertise in cluster management, automation, and container orchestration is essential. The system is high-load, so reliability is the top priority. You'll also contribute to our open-source product.

Key Responsibilities
Design and maintain GCP infrastructure (compute, storage, networking, IAM, KMS, managed databases) using Terraform

• Operate a growing fleet of private GKE clusters: administration, upgrades, capacity planning, Gateway API, custom Helm charts
• Build CI/CD pipelines with GitHub Actions and ArgoCD following GitOps practices, including ephemeral per-PR environments
• Implement monitoring, logging, and alerting with Mimir, Loki, Alloy, and Grafana - dashboards and alerts as code
• Design and secure cloud networking: VPC architecture, load balancers, Cloud Armor WAF, TLS automation, NetworkPolicies
• Operate the stateful layer with engineering teams: MongoDB, Kafka, Cassandra, Pinot, Redis, NATS, Cloud SQL - sizing, upgrades, backups, disaster recovery

• Collaborate with engineering teams on deployment strategies and reliability
   

  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 multi-environment estates on GCP
• Cloud platforms - solid knowledge of GCP core services, including compute, storage, and managed databases; equivalent AWS depth is fine if you are ready to work GCP-first
• Cloud networking - experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity
• Infrastructure security - practical experience with IAM, workload identity, secrets management, TLS, encryption (KMS/CMEK), 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 MongoDB, MySQL/Postgres, Redis, and streaming platforms such as Kafka; comfortable running stateful workloads on Kubernetes
• Observability - hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing
  
  Nice-to-Have
• Multi-tenant SaaS platform experience: namespace- or cluster-per-tenant models and tenant provisioning automation
• OpenTelemetry and distributed tracing, SLOs, and incident response practice
• Supply-chain and compliance work: cosign/SBOMs, image scanning, SOC 2 or ISO 27001
• 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.
• 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.

Applause is a profitable, well-capitalized operator of consumer subscription apps across privacy, security, health, productivity, and accessibility. The model is simple: acquire high-retention, category-leading apps and scale them. 

The apps already have top 1% retention, strong brands, and high organic traffic, so paid growth compounds on proven products instead of propping up weak ones. There is real budget behind growth that works.

Area of influence

• You set up the growth function from scratch and own it end-to-end — the campaign infrastructure, the measurement layer, the reporting, and the playbooks that make paid growth repeatable across many apps. This is a builder-operator role: you're expected to build the systems, not just run the accounts.
• Stand up the measurement and reporting backbone yourself: pipelines from network and MMP APIs, internal dashboards, and budget/creative automations. Comfort in SQL and Python (or equivalent) to build this rather than wait on a data team is a core part of the job.
• Build and own trustworthy attribution across a multi-app portfolio: layered MMP-based setup with S2S/CAPI and event deduplication, probabilistic and network-native models (Meta AEM, TikTok Attribution Flex), with SKAN as one input among several — reconciled against your own backend numbers so the payback math holds up.
• Plan, launch, and optimize paid UA hands-on across Apple Search Ads, Google, Meta, TikTok, and paid web — owning budgets, bids, audiences, and creative testing against payback and CAC targets per app.
• Build and pressure-test your own cohorted LTV and payback models rather than trusting platform-reported ROAS — and use that predicted-LTV number as the gauge for budget and profitability decisions across every app.
• Drive organic acquisition in parallel with paid — ASO, store-listing conversion, and web-to-app / web-to-web flows — so the top of the funnel grows through every lever, not just paid spend.
• Generate the experiment roadmap independently: bring your own ideas for new channels, creative angles, and tests, size them by expected payback, and run them without waiting for a task list.
• Own secondary paywall and funnel optimization, and coordinate lifecycle (email/push) support — partnering with the lifecycle and analytics hires so monetization and retention keep pace with the traffic you drive.
• Report results, learnings, and forecasts to the CEO weekly, and brief app GMs on what's working, what isn't, and what you need from them to scale. Flat structure, direct communication, fast decisions.

Who are we looking for

• Has personally deployed meaningful paid spend at a consumer subscription company (on the order of $10M+/year, or smaller budgets run with real rigor), with direct ownership of the numbers and outcomes.
• Genuinely technical: builds their own reporting, attribution, and automation in SQL/Python — not just an operator of dashboards someone else maintains. Has stood up API pipelines and rules-based ad-management automations before.
• Deep, hands-on fluency with the modern app-growth stack — an MMP (AppsFlyer, Adjust, or Singular), a product-analytics tool (Amplitude/Mixpanel), paywall/funnel tooling, and lifecycle (Customer.io or similar) — or has built the equivalent in-house, with strong, specific opinions on which tools to use and why.
• Modern about measurement: comfortable with probabilistic and network-native attribution, SKAN-aware, and runs real incrementality checks. Builds and pressure-tests LTV and payback models rather than taking platform ROAS at face value.
• Has operated across multiple apps or product lines at once and can context-switch across a broad portfolio (three to seven-plus apps) without letting performance slip.
• Thinks in unit economics and profitability thresholds, works well in a flat, communicative team, and is proactive — brings the roadmap rather than waiting for one.

Team & Background

A genuine player-coach: expected to execute campaigns directly today, with a clear path to hire and lead a small growth team as the portfolio scales.

Knows exactly what to keep in-house versus outsource, and can name the first few hires and vendors they would line up for each function.

Background skews scrappy and operator-heavy rather than corporate: founders, early-stage operators, and people who have built a growth function from zero

We are looking for a Senior Application Architect to support a technical discovery engagement, mapping dependencies across a large, heterogeneous, and partly undocumented application estate for a UK enterprise client.

Project: A ten-week discovery and technical assessment engagement focused on application and infrastructure dependency mapping — spanning protocols, service accounts, certificates, and a multi-version .NET estate — ahead of a remediation roadmap.

Responsibilities:

• Assess dependencies across protocols, runtimes, service accounts, and certificates
• Evaluate deprecated configuration dependencies (TLS 1.0/1.1, SMB, NTLMv1, 3DES) currently gating thousands of findings
• Build a service account map to enable safe password policy enforcement without causing outages
• Support certificate consumer mapping to identify pinned and mutual-TLS integrations ahead of certificate re-issuance
• Assess a multi-version .NET estate with no clear documented requirements
• Distinguish genuinely active systems from dormant ones, including decommissioning as a valid remediation route

• Support shadow IT discovery across the estate

   

Requirements:

• 7+ years of experience in application architecture assessment across heterogeneous enterprise estates
• Proven ability to establish dependency positions in the absence of documentation
• Experience distinguishing active from dormant systems and recommending decommissioning where appropriate
• Experience with shadow IT discovery
• Working knowledge of Windows Server and Red Hat Enterprise Linux, sufficient to reason about application-to-platform coupling
• Strong analytical mindset, able to work confidently with incomplete or conflicting source data

• Upper-Intermediate English or higher

   

What We Offer:

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations

We are looking for a Senior Java Solutions Architect to join a technical discovery and risk assessment engagement, working closely with a UK-based cybersecurity and architecture team on a large enterprise Java estate.

Project: A ten-week discovery and technical assessment engagement for a UK enterprise client, focused on mapping Java runtime usage and dependency risk across an estate of roughly 200 Java endpoints and close to 9,000 related findings.

Responsibilities:

• Build and maintain the Java runtime inventory, confirming actual usage across environments
• Identify components that are unused and removable, that require updating, or that require formal risk acceptance
• Confirm Log4j and Tomcat dependency chains and determine whether they share a common vendor product blocker
• Interpret Veracode Software Composition Analysis (SCA) output to produce an application bill of materials
• Confirm which applications genuinely bundle vulnerable components and assess whether the vulnerable code path is reachable
• Identify components with no direct upgrade path and define remediation options

• Collaborate with client-side architecture and security teams to validate findings and assumptions

   

Requirements:

• 7+ years of experience in Java platform engineering across multiple runtime generations and vendors (Oracle JDK/JRE, JRockit, OpenJDK, Azul, Corretto)
• Hands-on experience upgrading application servers and servlet containers, primarily Apache Tomcat; exposure to WebSphere is a plus
• Proven experience remediating Log4j/Log4Shell exposure in production, including cases where the component is embedded in a third-party product
• Experience resolving transitive dependency and classpath conflicts where the upgrade path is blocked by vendor versioning
• Familiarity with Veracode or a comparable software composition analysis tool
• Strong analytical mindset, able to work confidently with incomplete or conflicting source data

• Upper-Intermediate English or higher

   

What We Offer:

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations

We are seeking a hands-on Tech Lead / Solution Architect to shape and scale our next-generation iGaming platform. This role blends deep technical expertise, architectural design, and leadership skills to ensure our systems meet the demands of high-volume, real-time, and regulated environments.

Requirements:

• Proven experience in building Monolithic, Microservices, and Event-driven architectures, including decomposition of legacy systems into scalable microservices.
• Designing and implementing high availability (HA), fault-tolerant, and load-balanced solutions for large-scale, high-traffic applications.
• Orchestration Engines: Hands-on experience with workflow orchestration platforms (e.g., Camunda, Temporal) for process automation and distributed workflows.
• Strong expertise in designing scalable database schemas and managing both relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) systems with focus on performance optimization and horizontal scaling, Rabbit, Kafka.
• Knowledge of VMware-based infrastructure as well as modern container orchestration platforms (Docker, Kubernetes). Nice to have: Apache Spark, Hadoop.
• Building robust CI/CD pipelines using GitLab CI/CD, enabling continuous delivery and deployment across complex environments.
• Practical development skills in PHP (Laravel, Laravel Octane), Node.js, JavaScript, Next.js, React.
• Setup and integration of monitoring/alerting systems (Prometheus, Grafana, Kibana, ELK Stack, Sentry) for proactive issue detection and performance analysis.
• Deep understanding of automation-first approaches, infrastructure as code, and collaboration between development and operations.
• Proven ability to lead teams, mentor engineers, and align technical decisions with business goals. Skilled at translating business requirements into efficient technical solutions.
• Experience in using AI technologies

Nice to Have:

• Experience analyzing technical risks and defining mitigation strategies.
• Expertise in building PoC (Proof of Concept) and MVP (Minimum Viable Product) to validate business ideas quickly.
• Familiarity with architectural modeling tools (Lucidchart, Draw.io, C4 Model).
• Experience in multi-region deployments and scaling distributed systems across hybrid environments (cloud + on-premise VMware setups).
• Background in designing mission-critical financial, e-commerce, or enterprise-grade systems with strict SLAs and compliance requirements.

Responsibilities:

• Evaluation and clarification of incoming functional business requirements from customers and business analytics in specification format;
• Creation of technical specifications following functional business requirements;
• Building of services and infrastructure architecture according to technical specifications;
• Control of compliance of new solutions to the general architecture;
• Technical risks evaluation for services performance and infrastructure, and potential solutions development for mitigation;
• Services and infrastructure evolving and optimization;
• Performance, security, and stress testing planning and supervision found vulnerabilities and issues resolving;
• Architecture and technical solutions presentation and discussion with technical Leads and members;
• Supervision of technical solutions compliance to project requirements;
• Maintenance of technical documentation and development regulations;
• Requirements analysis, technical design, scope decomposition, and estimation with the technical teams;
• New projects and services of the company evaluation for compliance with the existing regulations and methodologies;
• Mentor development team members and Senior technical staff in the architecture area;
• Establishment and development of new technological practices for the company.

What we offer:

• Competitive salary;
• Remote work in a flexible environment;
• 20 working days of paid vacation and education projects;
• Great product with our software solution;
• Opportunity for growth at professional levels, attending top industry events and conferences, and international workshops at our competence centers.

Don’t delay! Send your CV right now and join our highly professional and ambitious team!

We are looking for a Head of Security Operations Center to lead, mature, and operate our resilient security operations capability. In this role, you will own the defense of our environment, ensuring fast and precise threat detection, investigation, containment, and exposure reduction. You will lead our security operations function, making the organization faster in responding to threats while continuously improving controls across the attack surface.

Responsibilities

• Own Cyber Defense execution across SOC, detection engineering, incident response, and exposure remediation
• Lead alert triage quality, escalation standards, incident command, and response coordination
• Prioritize critical vulnerabilities and exposures using asset criticality, exploitability, and business impact
• Manage Cyber Defense dashboards, runbooks, remediation follow-up, and operational metrics
• Coordinate with IT, Platform, IAM, Product, GRC, Legal, and business owners during incidents and remediation
• Build and develop the Cyber Defense team, including hiring, onboarding, mentoring, and retaining security talent
• Drive continuous improvement of detection coverage, response playbooks, and security controls based on lessons learned and threat intelligence
• Report on Cyber Defense performance, incidents, and risk posture to security leadership and stakeholders

Requirements

• 10+ years of experience in Information Security
• 3+ years in a security management or team lead role with direct people management experience
• Hands-on experience managing SOC operations, leading incident command, and driving MTTD/MTTR improvement
• Ability to design, validate, and maintain detection logic across SIEM, EDR, and cloud platforms, with a deep understanding of runbook development and false-positive reduction
• Knowledge of top attack scenarios (ATO, credential theft, privilege escalation, data exfiltration) and ability to map detections to threat models like MITRE ATT&CK
• Experience prioritizing vulnerabilities using CVSS and asset criticality to reduce exposure aging
• Hands-on experience with at least one enterprise SIEM (Splunk, Microsoft Sentinel, Chronicle, Elastic) and SOAR tooling
• Understanding of cloud-native security controls and monitoring in AWS, GCP, or Azure
• Understanding of IAM, PAM, SSO, and identity-related attack vectors relevant to detection and response
• Ability to define, track, and communicate security KPIs and operational dashboards to technical and executive audiences
• English - Upper-Intermediate or higher

Will be a plus

• Experience in fintech, e-commerce, or other high-risk industries with complex threat landscapes
• Hands-on background as a SOC analyst, incident responder, or detection engineer prior to moving into management
• Experience building a SOC or Cyber Defense function from scratch or significantly maturing an existing one
• Familiarity with threat intelligence platforms and threat-informed defense methodologies
• Relevant certifications: CISSP, CISM, GIAC (GSOM, GCED, GCIH) or equivalent

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical budget
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We're building a new iGaming brand focused on the LATAM market with strong financial backing, experienced industry leadership, and ambitious growth plans.

This is a unique opportunity to join at an early stage and take ownership of one of the company's key business directions. We're looking for a business-minded leader who can combine strategic thinking with hands-on execution and build a high-performing operation from the ground up.

Responsibilities

• Define and execute the business strategy for the LATAM region.
• Take full ownership of business growth, operational performance, and market expansion.
• Build, lead, and scale cross-functional teams across multiple business areas.
• Drive commercial performance and achieve ambitious revenue targets.
• Oversee Affiliate, CRM, Product, Marketing, Operations, VIP, Payments, and Customer Support in collaboration with department heads.
• Analyze key business metrics including FTD, Deposits, GGR, NGR, Retention, ROI, CPA, LTV, and profitability.
• Develop partnerships with key affiliates, service providers, and strategic partners across LATAM.
• Identify new growth opportunities and optimize business performance through data-driven decision-making.
• Collaborate closely with founders and executive leadership on long-term strategy and company development.
• Build scalable processes and maintain high operational standards as the business grows.

Requirements

• 5+ years of experience in the iGaming industry.
• Proven experience in senior leadership positions such as COO, General Manager, Country Manager, Head of Operations, Head of Growth, or similar.
• Strong understanding of the LATAM online casino market.
• Experience launching or scaling casino operations in LATAM.
• Deep knowledge of Affiliate Marketing, CRM, Product, VIP, Retention, and commercial operations.
• Strong analytical mindset with experience managing business performance through KPIs.
• Experience building and leading international teams.
• Excellent communication and leadership skills.
• Fluent English.
• Spanish or Portuguese would be a strong advantage.

Nice to Have

• Experience launching new casino brands from scratch.
• Existing network of partners within the LATAM iGaming market.
• Experience managing multi-million marketing budgets.
• Strong understanding of licensing, compliance, and payment solutions for LATAM.

We Offer

• Opportunity to become one of the key decision-makers in a fast-growing international company.
• High level of autonomy with real influence on business strategy.
• Remote-first environment with flexible working hours.
• Competitive fixed salary with an attractive performance-based bonus.
• Long-term career growth within an expanding international business.
• The opportunity to build and scale a business almost as your own.

Why this role exists:

The role exists to own the mathematical models that price sportsbook markets and manage the book's risk exposure. The Senior Quantitative Analyst sits at the intersection of statistical modelling, sports domain expertise, and commercial trading judgement to build and calibrate pre-match and in-play pricing models, set margin and liability frameworks, and turn betting and market data into a measurable pricing edge. At the senior/lead level, the scope includes setting the modelling direction for assigned sports verticals, defining model quality metrics, acting as a technical authority, and mentoring mid-level and junior quants.

What you’ll drive:

Model development and market pricing

• Own the design, development, and calibration of pre-match and in-play pricing models, BetBuilder models, and Cashout for assigned sports verticals (e.g. football, tennis, basketball, esports).
• Derive full market trees from core model outputs — match odds, handicaps, totals, correlated derivatives, player props, and same-game multiples — with internally consistent probabilities.
• Model live scenarios where state changes matter: in-play score, time decay, red cards, momentum, injury and substitution effects, service games, possession-based simulation.

Risk management and market analysis

• Extract fair probabilities from competitor and exchange prices (margin removal / de-vigging) and blend market-implied signals with in-house model output.
• Define and maintain liability limits, exposure thresholds, and automated risk-mitigation rules across markets and events.
• Run Monte Carlo simulation of book outcomes to quantify tail risk on major events and accumulator/multiples exposure.
• Support the trading floor during high-liability events with real-time analysis and price recommendations.

Strategy, productionisation, and leadership

• Set the quantitative roadmap for assigned verticals in partnership with Trading and Product leadership.
• Partner with Engineering to productionise models into low-latency pricing services, and define monitoring and alerting requirements.

What makes you a GR8 fit:

Must-have

• 5+ years of quantitative analysis experience, including 3+ years in sports betting, betting exchange, or sports trading/analytics.
• Expert-level probabilistic and statistical modelling skills.
• Expert Python skills for modelling and production code.
• Strong experience in sports-specific model design, including ratings, simulations, and in-play models.
• Experience with both pre-match and in-play pricing.
• Advanced knowledge of bookmaking economics, margin strategy, risk, liability, and exposure management.
• Advanced SQL and experience handling large-scale datasets.
• Experience developing, validating, and deploying models into production with measurable commercial impact.
• Machine learning knowledge and understanding of low-latency/streaming systems.
• English proficiency at B2+ level.

About the Role

INSTYTUTUM is a Swiss high-performance skincare brand scaling globally across the U.S., Europe, and the Middle East.

We are looking for a Creative Producer with a game-changing mindset — someone who doesn’t just create content, but builds high-converting creative systems that drive growth.

This is not a traditional content role.
This role sits at the intersection of creative strategy, performance marketing, and production.

🔥 What You Will Own

Creative Strategy & Production

• Develop bold, high-impact creative concepts for the U.S. market
• Own the full lifecycle of performance creatives: from idea → production → testing → scaling
• Turn skincare science into compelling, conversion-driven storytelling
• Create and oversee short-form video content (TikTok, Reels, YouTube Shorts)
• Generate hooks, angles, and narratives that capture attention and convert

Performance & Growth

• Build and scale creative-driven acquisition funnels
• Produce performance creatives for paid channels (Meta, TikTok, Google, YouTube)
• Work closely with media buyers to test, analyze, and scale winning creatives
• Continuously run creative experiments (A/B testing, iterations, new formats)
• Optimize content for conversion across ads, landing pages, and retention flows

Creative Systems & Scaling

• Build a repeatable system for creative testing and scaling
• Work with UGC creators, designers, and editors to produce high-volume creatives
• Identify trends, insights, and opportunities in the U.S. digital landscape
• Balance speed, volume, and quality in content production

🎯 What We’re Looking For

• 3–5+ years in creative strategy / performance marketing / content production (with performance focus)
• Proven experience creating ad creatives for paid social (Meta, TikTok)
• Strong understanding of creative testing, hooks, and conversion mechanics
• Experience working with U.S. market or global products
• Hands-on experience with short-form video and UGC formats
• Ability to combine creative thinking with data-driven decisions
• Background in IT product / mobile apps / DTC / beauty / wellness is a strong plus
• English: Upper-Intermediate+

❌ Not a Fit If

• You focus only on brand/content without performance metrics
• You have no experience with paid acquisition creatives
• You are looking for freelance / consulting / part-time work

💎 What We Offer

• Competitive above-market salary
• Official employment from day one
• 30 calendar days of paid vacation + sick leave
• Remote / hybrid format with Kyiv office option
• Strong onboarding and support
• Opportunity to build and scale a global creative engine from scratch

If you think in hooks, test ideas daily, and scale what works — we should talk.

About the Role

We are seeking an experienced Senior Data Technology Consultant to join our growing Data & AI practice. This role bridges technology with business value, helping clients harness the power of data to drive transformative business results. You will play a pivotal role in crafting innovative data solutions, supporting sales efforts, and delivering exceptional value to our clients through strategic consulting and technical expertise.

Key Responsibilities

• Work closely with sales, delivery, and expert teams to align client needs with data-driven solutions, effectively connecting business challenges to our offerings
• Own the end-to-end presales process, including opportunity qualification, solution design, proposal development, demos, and client presentations
• Lead workshops and meetings with clients to gather business objectives and technical requirements, ensuring alignment between client goals and our solutions
• Architect tailored data solutions, encompassing cloud-native platforms, data integration, advanced analytics, and AI/ML models, to provide actionable business insights
• Develop competitive proposals, pricing models, and value propositions to successfully close opportunities and secure engagements
• Stay updated on emerging trends in Data & Analytics, Cloud, and AI, providing strategic advice to clients and supporting innovation within the practice
• Contribute to the development of reusable solution frameworks, accelerators, and methodologies to drive operational efficiency
• Act as a mentor and knowledge-sharer across the team, supporting skill-building and best practice dissemination

Requirements

• Extensive experience in presales, solution architecture, or consulting, with a focus on Data/AI technologies and related business use cases
• Strong technical knowledge in legacy Data Warehouse platforms (Oracle, DB2, Informatica, SSIS, etc.)
• Good experience in cloud data technologies (AWS, Azure, GCP)
• Experience in modern data platforms (Databricks, Snowflake)
• Familiarity with data science techniques and proficiency in analysis of client needs to align with technical solutions
• Excellent communication and storytelling skills—able to translate complex technical concepts into clear, client-friendly narratives
• Proven track record in engagement with senior stakeholders and delivery of impactful presentations or pitches
• Experience in creation of detailed proposals, RFP responses, and pricing/engagement models for data-related services or projects
• Understanding of strategic consulting principles and the ability to develop future-state recommendations and roadmaps for client success
• Strong organizational, leadership, and project scoping abilities, with a proven ability to manage complex tasks in a fast-paced environment
• Bachelor's or master's degree in data science, Computer Science, Business Analytics, or a related field (or equivalent professional experience)
• Excellent English communication skills, with the ability to clearly and effectively explain technical concepts to diverse audiences.

Our team is seeking a Data Solution Architect to further strengthen our capabilities.

Responsibilities

• Work closely with business in identifying solution requirements and key case-studies/scenarios to architect Data solution
• Participate in Data and Big Data initiatives on a company level
• Design Data analytics solutions by utilizing the Data technology stack with Big Data techniques
• Conduct solution architecture review/audit, calculate and present ROI
• Create and present solution architecture documents with deep technical details to customer and implementation teams
• Participate in specific “pre-sale” activities related to available experience and practice in order to prepare technical proposals on customer requests
• Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
• Maintain a strong understanding of technical solutions and architecture design trends and best practices, stay on cutting edge of Data technologies
• Constantly grow expertise by gathering and monitoring available EPAM project experience and ongoing projects with clients from different business domains to drive further EPAM business in Data field
• Create and follow personal education plan in the technology stack and solution architecture
• Share experience, knowledge and vision with EPAM, colleagues and customer teams. Participate in seminars, meet ups, mentoring, training programs. Prepare white papers and presentations

Requirements

• Strong ‘hands-on’ experience as a Data Architect with design/development background with Java, Scala, or Python
• Architecture experience and practice in Data Management, Data Storage, Data Visualization, Disaster Recovery, Integration, Operation and Security
• Experience with building traditional Cloud Data Warehouses, Data Lakes
• Knowledge of high load and IoT Data Platform architectures and infrastructures
• Wide experience in analysis, design, implementation, deployment as well as troubleshooting and rebuilding distributed Linux based platforms and Big Data solutions on premises and in Cloud
• Strong Cloud experience in at least one of the Cloud providers (AWS, Azure, GCP)
• Solid experience in continuous delivery tools and technologies
• Broad experience with Containers and Resource Management systems: Docker, Mesos, Kubernetes/OpenShift, Yarn
• Able to deliver Data Analytics projects and architecture guidelines
• Strong in research, comparison, and selection of tools / technologies / approaches to be used
• Practical experience in performance tuning and optimization, bottleneck problem analysis
• Strong communication skills, experienced in team coordination skills and solution implementation supervision
• Good in Agile development methodology, Scrum in particular
• Solid skills in business analysis, network/stack architecture, troubleshooting, support
• Fluent English