Location: Limassol, Cyprus
Workplace: hybrid
We are looking for a hands-on
Risks Ops
to own and evolve our core
Decision-Making System (DMS)
and credit processing engine. In this role, you will bridge the gap between risk management, and core engineering, leading a focused team of developers to design, build, and optimize high-throughput, low-latency decisioning engines.
You will play a pivotal role in streamlining time-to-market for credit strategy changes, integrating advanced ML scoring models, and replacing legacy software with modern, scalable, in-house microservices architecture.
Key Responsibilities
Technical Leadership & Ownership:
Take full ownership of the end-to-end Decision-Making System (DMS) lifecycle, including system architecture, deployment pipelines, production monitoring, continuous code cleanup, and performance optimization.
Cross-Functional Collaboration:
Partner closely with Risk Analysts and Data Scientists to translate complex business logic, risk rules, and ML scoring models (application, behavioral, fraud) into production-ready software.
Team Leadership & Delivery:
Implement core logic of DMS system to suit the needs of InDrive's lending vertical. Code reviews, release management, and performance evaluations while fostering an efficient, agile environment.
Process Optimization:
Reduce time-to-market for credit strategy updates by modernizing delivery workflows, introducing automated regression/retrospective testing, and eliminating dependencies on legacy release cycles.
Architecture & System Integration:
Drive the evolution of our high-volume microservices ecosystem (Golang, AWS). Integrate internal and external services (credit bureaus, collection platforms, fraud detection services) via REST APIs and event-driven pipelines.
Skills, Knowledge and Expertise
Fintech & Credit Decisioning Expertise:
7+ years of total backend engineering experience, with deep domain expertise in financial technology, credit conveyors, loan processing, debt collection systems, or automated decisioning engines.
Risk-Ops experience:
be familiar with any popular decision-engine (gorules, n8n, camunda, SAS RTDM, FICO Blaze Advisor etc…)
Stack:
Strong expertise in Golang / Python, and build tools (Gitlab CI), AWS-related experience will be a huge plus.
Data Management:
Proficiency with relational and non-relational databases (MySQL, AuroraDB, DynamoDB, GBQ).
DevOps, CI/CD & Observability:
Hands-on experience with modern CI/CD tools (GitLab CI, GitHub Actions), containerization (Docker), and system monitoring tools (Prometheus, Grafana).
Why join us
Help us challenge injustice by creating fair choices for millions of people across 47 countries.
Develop your professional skills with access to mentoring, career consulting, and learning programs.
Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
Work alongside people who take initiative, speak openly, and challenge themselves to grow.
Improve your language skills through co-financed courses and internal speaking clubs.
Annual salary from 75 600 EUR gross.
Final benefits may vary depending on the location.
Location: Annapolis Junction, MD, United States
Job Title
Principal‑Level Software Engineer (Java, Python)
Why IDS?
IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients.
Locations
Annapolis Junction, MD
Shifts Available
Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements.
Job Description
IDS is seeking a Principal‑Level Software Engineer to create custom analytics that perform at scale. The engineer will work closely with data scientists and end users to develop analytic tools that support discovery and tradecraft around critical global challenges and operationalize data science within customer environments.
Key Duties
• Work directly with data scientists and mission analysts to solve complex strategic problems
• Perform end‑to‑end software engineering to prototype, develop, integrate, test, and deploy analytic tools
• Integrate tools and tradecraft into customer corporate architectures
• Support the operationalization of data science solutions at scale
Requirements
• Bachelor’s degree with eleven (11) years of relevant experience, or equivalent
• Strong experience with Jupyter Notebooks, Java MapReduce, and Python PySpark
• Strong experience with statistical analysis and machine learning fundamentals
• Strong experience with customer tools, architecture, data flow, and big‑data environments
• Proficiency with Jira, Confluence, and GitLab
• Experience working in Agile development environments
• Experience with end‑to‑end software development processes (requirements, design, implementation, testing, integration, deployment, and maintenance)
• Experience with data science, Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs)
• Active TS/SCI with Polygraph
Compensation
• Salary range: $155,000 – $175,000
• Benefits
Location: Georgia; Belarus; Serbia; Armenia; Kyrgyzstan; Uzbekistan; Azerbaijan; Czech Republic; Montenegro; Poland; Portugal; Romania; Spain; UAE; Slovakia
Workplace: remote
About the Team
We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers.
We are looking for a Mobile QA Engineer for our iOS team.
We are currently undertaking a major redesign of our flagship trading platform, used by millions of users worldwide, with three key goals: delivering an adaptive UI across different screen sizes and device families, expanding automated regression coverage, and transitioning to native Swift-based test automation.
We follow an AI-first approach, actively integrating AI tools into our daily engineering workflows, including test design, automation development, code reviews, and debugging.
We work in 2-week Scrum sprints, with daily meetings at 11:00 EET/EEST.
Your role will involve owning the testing process end to end, from reviewing requirements and identifying potential risks to designing test cases, executing manual tests, and automating them where appropriate.
Our ideal candidate has a strong product mindset, takes ownership of features, proactively identifies issues and opportunities for improvement, collaborates with different teams, and drives features through testing to a successful release.
Tasks
Manual Testing:
Perform functional, regression, smoke, end-to-end and integration testing of new and existing iOS functionality. Review specifications, identify risks and edge cases, prepare test cases and checklists, and validate the redesigned UI across different screen sizes, device families, and iOS versions.
Test Automation:
Develop and maintain automated tests to expand regression coverage across product domains. Contribute automated tests for new functionality, including end-to-end tests, and add coverage for features that are not yet covered by developer-written tests.
Automation Migration:
Help migrate the existing test automation framework to Swift-based automation, improving maintainability, reliability, and regression coverage.
API Testing and Debugging:
Test REST APIs and JSON responses, validate integrations and real-time data flows, analyze network traffic using Charles Proxy or Proxyman, and investigate issues using device logs and debugging tools.
Cross-Platform Testing:
Collaborate with the Android team to verify cross-platform functionality and identify inconsistencies between iOS and Android implementations.
CI/CD:
Integrate and maintain automated tests in CI/CD pipelines, helping ensure reliable execution and timely feedback on product changes.
AI-Assisted Workflows:
Use AI tools in day-to-day QA activities, including test design, test automation, code reviews, and debugging.
Requirements
Mobile Testing Experience:
3+ years of experience testing native mobile applications, with a focus on iOS. Understanding of platform-specific features, guidelines, and limitations (Apple Human Interface Guidelines, Material Design).
Test Automation:
Hands-on experience building and maintaining mobile automated tests using Appium, XCUITest, and/or Espresso. Ability to design a scalable test automation framework from scratch using patterns such as Page Object or Screenplay.
Programming Skills:
Proficiency in at least one programming language used for test automation: Kotlin, Java, Swift, Python, or TypeScript. Ability to write clean, readable, and maintainable test code.
Testing Theory and Test Design:
Solid understanding of functional, regression, smoke, integration, and end-to-end testing. Experience with test design techniques, including equivalence partitioning, boundary value analysis, decision tables, and pairwise testing. Ability to write clear test cases, checklists, and bug reports.
API Testing:
Experience testing REST APIs and working with JSON. Familiarity with Postman, Swagger, API automation tools such as REST Assured, Retrofit, or requests, etc.). Basic understanding of WebSockets and real-time data testing.
Debugging and Traffic Analysis:
Experience using Charles Proxy, Proxyman, or Fiddler for traffic interception and mocking. Ability to inspect logs using Xcode Console, Android Studio Logcat, and adb.
CI/CD and Test Infrastructure:
Experience integrating automated tests into CI/CD pipelines using tools such as GitLab CI, GitHub Actions, Jenkins, or Bitrise.
AI Tools:
Willingness to use AI-assisted tools in everyday engineering workflows, including test design, test automation development, and debugging.
Languages:
English at B1 level or above and Russian at C2 level.
Nice to have
Experience writing mobile automated tests in Swift using XCUITest.
Experience migrating legacy automation frameworks or transitioning between programming languages and testing technologies.
Experience testing financial applications, trading platforms, or other products where data accuracy and reliability are critical.
We offer
Full-time remote work (service provider contract).
Competitive compensation (EUR).
Flexible working hours.
Corporate AI subscriptions (Claude, Gemini, GPT, etc.).
Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency.
A strong team of engineers.
Positive and friendly atmosphere.
With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark.
Join us today, and let's shape the future of fintech together!
Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted.
#LI-JM1
Location: Estonia; Finland; Greece; Latvia; Romania; Sweden
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
About the role
A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong debugging, optimization, and performance-tuning skills.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to have:
Kubernetes operators, Helm chart authoring, admission webhooks.
Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
Kubernetes or cloud-native OSS contributions.
Responsibilities:
Design, build, and operate the CI/CD pipelines every engineering team ships through.
Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.
Tools we use daily:
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
ClickHouse, Cloud Object Storage
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
CI/CD & GitOps:
GitLab CI, ArgoCD, Kargo
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Cyprus; Ireland; Malta; Moldova; Montenegro; North Macedonia; Ukraine
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine.
About the role
A team ships a new service, and getting it from a laptop to production - built, tested, deployed, and visible when something goes wrong - shouldn't require that team to become infrastructure experts. It should be a paved road: a CI/CD pipeline that just works, observability that's there by default, and standard ways of doing things that are the obvious best choice, because the alternative is every team reinventing the same solutions on its own.
The Platform team builds and maintains that road, and the work is internal - the users are Cast AI's own engineers. The team is a multiplier for the engineering organization: whatever it builds is built once and serves every team, and the time product teams would otherwise spend on infrastructure goes back into developing their products.
What the team owns is whether the tools engineers use to build, deploy, and observe their services are good enough that reliability is actually achievable, and with hundreds of engineers and dozens of services leaning on that at once, the platform has to be fast, correct, and boring in the best sense.
Requirements:
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
Experience in platform engineering - you've built and operated (not just consumed) most, but not necessarily all of: CI/CD and GitOps systems (GitLab CI, Argo CD, Kargo), infrastructure as code (Terraform), container orchestration (Kubernetes, Helm), observability and monitoring tooling (VictoriaMetrics, Grafana, Loki, Tempo), and cloud platforms (AWS, GCP, or Azure).
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong debugging, optimization, and performance-tuning skills.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to have:
Kubernetes operators, Helm chart authoring, admission webhooks.
Internal developer platform (IDP) design - golden paths, self-service tooling, service catalogs.
Local development environment tooling (devcontainers, Tilt, Skaffold, or similar).
Kubernetes or cloud-native OSS contributions.
Responsibilities:
Design, build, and operate the CI/CD pipelines every engineering team ships through.
Build and maintain the observability and monitoring tooling other teams use to debug their own systems in production.
Build local development environment tooling that lets engineers reproduce production-like conditions on their laptop.
Reduce friction for every other team: identify where engineers lose time to infrastructure and fix it at the root, not with a workaround.
Debug complex issues that span CI/CD, observability tooling, Kubernetes, and cloud infrastructure.
Contribute to the platform roadmap and backlog - shape what gets built next for the engineers who depend on you.
Tools we use daily:
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, GCP, AWS, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
ClickHouse, Cloud Object Storage
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Grafana, VictoriaMetrics, VictoriaLogs, VictoriaTraces, Loki, Tempo
CI/CD & GitOps:
GitLab CI, ArgoCD, Kargo
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Croatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
Location: Moldova; Montenegro; Slovenia; Ukraine
Why Cast AI?
Cast AI is an automation platform that operates cloud-native and AI infrastructure at scale. By embedding autonomous decision-making directly into Kubernetes and cloud environments, Cast AI continuously optimizes performance, reliability, and efficiency in production.
The old way doesn't work. As Kubernetes and AI environments grow, manual decisions don’t. Cast AI replaces tickets, alerts, and manual tuning with continuous automation that adapts infrastructure as conditions change. Efficiency and cost savings follow naturally from that automation.
Over 2,100 companies already rely on Cast AI, including Akamai, BMW, Cisco, FICO, HuggingFace, NielsenIQ, Swisscom, and TGS.
Global team, diverse perspectives
We're headquartered in Miami, but our impact is international. We take a global and intentional approach to diversity. Today, Cast AI operates across 34 countries spanning Europe, North America, Latin America, and APAC, bringing a wide range of perspectives into how we build and lead.
Unicorn momentum
In January 2026, we achieved unicorn status with a strategic investment from Pacific Alliance Ventures, the corporate venture arm of Shinsegae Group (a $50+ billion Korean conglomerate). Our valuation now exceeds $1 billion, and we're just getting started.
Join us as we build the future of autonomous infrastructure.
This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Slovenia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro and Ukraine.
What you'll be solving
Every dollar Cast AI saves a customer has to be provable, every action taken on their infrastructure has to be attributable to someone authorized to take it, and every price used to make that case has to be current across every cloud, region, and availability zone. This is the trust and accounting layer underneath the whole platform: get it wrong, and customers can't log in, can't trust the savings number, or get billed incorrectly - any one of which ends the relationship.
This posting covers multiple teams working on different pieces of the same trust-and-accounting problem: authentication, authorization, and SSO for every user and workload. Billing, audit trails, notifications, and feature flags that keep the platform transparent for every customer. Real-time cloud pricing tracking across every region and availability zone, including Spot availability and discounts. And reporting that turns high-volume time-series data into fast, accurate answers about what the automation actually saved.
Requirements
Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work.
Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language.
You've built or operated trust-critical systems at scale - authentication/authorization, billing, or financial/accounting-adjacent data, where being wrong has real consequences.
Good understanding of API design best practices - versioning, backward compatibility, auth, idempotency, async patterns, and similar.
Strong debugging, optimization, and performance-tuning skills – including query profiling, index design, and database performance tuning beyond ORM usage.
Experience operating and optimizing systems under high load - you know how to find and fix the bottleneck, not just add more resources.
Hands-on experience with Kubernetes - you understand the core concepts (pods, services, deployments) and have deployed or debugged something on a cluster.
Experience with AI coding agents and agentic development workflows.
You've personally driven a complex project end-to-end.
Strong English skills, both verbal and written.
Startup mindset: adaptable, proactive, and comfortable with ambiguity.
Participate in on-call rotation for teams that require it.
Nice to haves
Multi-tenant identity system design - authentication, authorization, SSO.
Enterprise identity protocols - SAML, OIDC, and SCIM for enterprise account provisioning and sync.
Billing, audit-trail, notification, or feature-flag systems in production.
Experience with cloud provider pricing/billing APIs across AWS, GCP, or Azure, or tracking Spot instance availability.
High-cardinality time-series ingestion and querying at scale.
Understanding of Kubernetes internals.
CI/CD and DevOps practices experience.
Observability tooling (Prometheus, Grafana, OpenTelemetry) in production.
Responsibilities
Design, build, and operate backend services in Go that other teams and customers depend on being correct.
Own features end-to-end: from design through implementation, testing, and production rollout.
Debug complex production issues involving security-, money-, or trust-critical flows.
Collaborate with product and other engineering teams to solve problems that don't have textbook solutions.
Contribute to product direction and backlog - shape what gets built next, not just how it's built.
Tools we use daily
Programming Language:
Go
Cloud & Orchestration:
Kubernetes, AWS, GCP, Azure
Infrastructure as Code:
Terraform
Databases & Storage:
PostgreSQL, Cloud Object Storage, ClickHouse
Messaging & APIs:
GCP Pub/Sub, gRPC for internal communication, REST for public APIs
Observability:
Prometheus, Grafana, Loki, Tempo
CI/CD & GitOps:
GitLab CI with ArgoCD
What’s in it for you?
Competitive salary (€6,500 – €9,000 gross, depending on the level of experience) plus separate compensation for on-call participation (passive coverage and active interventions)
Enjoy a flexible, remote-first global environment.
Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology.
Equity options.
Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks.
Spend 10% of your work time on personal projects or self-improvement.
Learning budget for professional and personal development – including access to international conferences and courses that elevate your skills.
Annual hackathon to spark new ideas and strengthen team bonds.
Team-building budget and company events to connect with your colleagues.
Equipment budget to ensure you have everything you need.
Extra days off to help maintain a healthy work-life balance.
You'll be expected to travel to Vilnius for onboarding - travel costs are covered by the company.
Hiring process
Screening call with Recruiter
Hiring Manager interview
Technical interview (system design)
Live coding
Culture Check interview with an executive
*As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr.
*Please note that Cast AI
does not
provide any form of visa sponsorship/work permit.
#LI-Remote
-Развивать и дорабатывать Систему документооборота на PHP и Symfony. -Проектировать и реализовывать backend-логику: жизненный цикл документов, согласования, права доступа, версионирование, аудит действий.
Знание PHP, SQL и Symfony, опыт с Symfony в последние годы. Глубокое понимание фундаментальных принципов разработки, способность читать, анализировать и понимать чужой код.
Чем предстоит заниматься: Проектированием архитектуры мобильных приложений и принятием ключевых технических решений с учётом долгосрочной поддержки и масштабирования; Интеграцией механизма подтверждения входа через push‑уведомления совместно с серверной командой;
Location: Limassol, Cyprus
Workplace: on-site
Mayflower
is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience.
Job Responsibilities
Generate actionable insights based on data to support product and business decisions;
Design, run, and analyze A/B tests end-to-end - from hypothesis to implementation and reporting;
Define and develop new business and product metrics to measure performance and identify opportunities;
Continuously monitor key metrics and detect anomalies or trends that require attention;
Conduct deep-dive analyses to identify problem areas and uncover growth opportunities;
Write clean and efficient SQL and Python code to extract, transform, and analyze data;
Collaborate on implementing new tracking events and properties to improve product analytics coverage;
Work closely with CPO, Product Managers, Analysts, Product Designers, and Data Scientists to drive data-informed decisions.
You’ll thrive here if you have
3+ years of experience in analytics;
Strong understanding of A/B testing and solid knowledge of statistics;
Excellent SQL skills - ability to write complex queries, automate reports, build dashboards and data visualizations;
Proficient in Python for data analysis, visualization, and automation;
Experience working with BI tools, especially Tableau (other tools like Power BI or Amplitude are also acceptable);
Deep understanding of metrics and the ability to define them from scratch, grounded in product logic;
Strong product thinking - ability to connect data insights with business goals;
Qualifications that can be a plus:
Experience analyzing paid and affiliate traffic, with a solid understanding of advertising, user tracking, and attribution principles.
ML expertise: cluster analysis, regression models, etc;
Airflow;
GitLab;
dbt;
Conditions
We know that great talent deserves great conditions, so here's what you can expect when joining us:
EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
EU passport.
Opportunity to obtain an EU passport after 4 years of residence
Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
Private medical insurance for you and your family
Corporate mobile plan (unlimited in Cyprus with roaming included)
Mindfulness & well-being support, including psychological assistance with 50% coverage.
50% coverage of school and kindergarten fees for your children.
Fully covered sports benefits, and also access to in-house electric scooters and bike rentals
Provident fund (Cyprus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.
Professional growth support: language courses, conferences, training programs, and coaching.
Peer recognition program: receive and share kudos for great work.
A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.
Recruitment process
HR interview (45 min);
Technical interview (1,5 hours);
Final interview (1 hour).
Location: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
本职位需在马来西亚吉隆坡（KL）办公室现场办公，欢迎愿意搬迁至吉隆坡的候选人投递
Responsibilities
1. System Reliability
Ensure the stability, availability, and performance of the company's core business infrastructure across AWS and Tencent Cloud globally; accountable for production environment SLAs.
Maintain stable operation and troubleshooting of the service mesh based on Kubernetes + Envoy/Istio architecture; drive gateway-layer governance standards.
Define and implement SLO/SLI/Error Budget frameworks to continuously improve service reliability.
Identify system bottlenecks and single points of failure; drive architectural improvements.
2. Automation & Engineering Efficiency
Develop operations automation tools: capacity assessment, auto-scaling, self-healing, and change automation.
Build SRE platforms: lead or contribute to building SRE platforms (capacity management, cost analysis, service health dashboards) and iterate continuously with the team.
API integration: interface with monitoring systems, cloud platforms, and Kubernetes APIs to enable automated data workflows.
Chaos Engineering: design and implement chaos engineering practices to proactively validate system fault tolerance.
IaC & CI/CD: advance Infrastructure as Code (Terraform / Helm / GitOps) and CI/CD pipeline optimization to improve release safety and reduce manual operations.
3. Capacity Planning & Performance Optimization
Establish and continuously iterate capacity assessment frameworks; develop scaling plans aligned with business growth projections.
Identify performance bottlenecks; drive architectural optimization and cost efficiency (redundancy optimization, cost reduction).
Participate in capacity estimation and scaling plans for major promotions and high-traffic events.
Build cost-efficiency metrics; track and optimize per-unit business cost
Requirements
Development Skills
Proficient in at least one programming language: Python / Go / Java / Node.js (Python or Go preferred).
Able to independently deliver end-to-end features: from requirements analysis → design → coding → testing → deployment.
Backend development experience: familiar with RESTful API design and databases (SQL/NoSQL).
Strong scripting skills: able to quickly write Shell/Python scripts to solve day-to-day operations issues.
SRE Fundamentals
3+ years of SRE/DevOps experience with large-scale distributed systems.
Linux expertise: solid understanding of Linux internals, performance tuning, and troubleshooting.
Container technologies: proficient in Docker and Kubernetes with production-level K8s management experience.
Monitoring & alerting: experienced with Prometheus / Grafana / ELK; able to design monitoring metrics and alerting strategies.
CI/CD: familiar with GitLab CI / Jenkins / ArgoCD with hands-on automated deployment experience.
Soft Skills
Data-driven mindset: make decisions backed by metrics and data.
Problem-solving: quickly identify root causes and drive cross-team collaboration to resolve issues.
Influence: able to evangelize SRE culture to development teams and drive reliability engineering practices (SLO, Postmortem, change management) across business teams.
Ownership: take full accountability for the reliability of owned services; proactively identify and optimize issues.
Fast learner: able to quickly ramp up on new technologies and tools.
Nice to Have
Experience building internal operations platforms from scratch, with full-stack development skills to independently deliver a complete platform.
Familiarity with cloud-native technologies (Istio, Service Mesh, Operator pattern) and service governance (rate limiting, degradation, circuit breaking).
Hands-on Chaos Engineering experience.
Practical experience in capacity planning and cost optimization (FinOps).
Operations experience in finance, trading systems, or high-concurrency scenarios, including capacity assurance for major promotions or high-traffic events.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Развертыванием, настройкой и поддержкой инфраструктуры: ВМ (VMware, SberCloud) и Kubernetes-кластеров (on-prem). Сопровождением веб-окружений: поддержка и оптимизация работы сайтов и проектов на Bitrix (Nginx, PHP-FPM, кеширование, БД), включая внешние облачные панели.
seniorEstonia; Finland; Greece; Latvia; Romania; Sweden
seniorCyprus; Ireland; Malta; Moldova; Montenegro; North Macedonia; Ukraine
seniorCroatia; Cyprus; Estonia; Greece; Ireland; Malta; Romania
seniorMoldova; Montenegro; Slovenia; Ukraine
ОфисLimassol, Cyprus; EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family; Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free
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