Hiring Timelines

This internship opportunity is available throughout our 3 terms with the following corresponding recruitment cycles:

• Winter Term: Mar–May work term, Nov–Jan recruit.
• Summer Term: Aug–Oct work term, Jan–May recruit.
• Fall Term: Oct–Dec work term, Apr–May recruit.

Please note these timelines are for reference only. Actual timelines may vary.

At JetBrains, code is our passion. Ever since we started, back in 2000, we have been striving to make the most effective developer tools on earth. Our tools speed up production by automating routine checks and corrections, freeing developers to grow, discover, and create.

The JetBrains Cloud Platform team develops a cloud-based service that helps organizations manage JetBrains products and services with a focus on encouraging the adoption of AI-powered development tools. JCP provides centralized management, usage-based billing, and visibility into AI consumption patterns.

We are currently seeking a skilled Performance QA Engineer to join our team and improve the reliability of our system. In this role, you will be responsible for ensuring the scalability and stability of our distributed systems through rigorous performance testing and analysis.

As part of our team, you will:

• Design, develop, and maintain automated performance test suites for complex distributed systems.
• Identify system bottlenecks, conduct root-cause analysis, and partner with engineering teams to implement remediation strategies.
• Generate high-quality performance reports with actionable recommendations and communicate findings to both technical and non-technical stakeholders.
• Work closely with cross-functional development teams to identify performance-critical components and define SLAs, performance criteria, and workload models.
• Design and enhance frameworks for performance test execution, test results collection, analysis, visualization, and reporting.
• Integrate performance testing into CI/CD pipelines.

We’ll be happy to have you on our team if you have:

• 5+ years of experience in performance testing or engineering.
• Strong hands-on experience with at least one major performance testing tool – K6, JMeter, Gatling, Locust, or LoadRunner (code-based tools are preferred, but git knowledge is a must).
• Solid programming or scripting skills in languages such as Java, Python, JavaScript/TypeScript, or Go.
• A strong understanding of distributed systems, API performance, databases, caching, and networking fundamentals.
• The proven ability to analyze performance metrics, identify bottlenecks, and recommend improvements.
• Experience testing high-traffic or mission-critical applications.
• Strong analytical skills and the ability to communicate technical findings clearly.
• Proficiency in English, both written and spoken.

We’ll be especially thrilled if you have:

• Experience with observability platforms (Prometheus/Grafana and Elastic).
• Experience with containerized and cloud-native environments (Docker, Kubernetes, and AWS/GCP/Azure).
• Familiarity with event-driven systems, streaming platforms (Kafka), and microservice architectures.
• Knowledge of CI/CD automation (TeamCity, GitHub Actions, etc.).

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. (keep if relevant for the role)
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

About Incode

Incode is a Series B unicorn ($1.25 B valuation) rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security. Recently named a leader in the Gartner® Magic Quadrant™ for Identity Verification, we’re scaling fast—and we need a product-marketing leader who can turn breakthrough technology into a category-defining narrative.

The Impact You’ll Make

As a Senior Site Reliability Engineer at Incode, you will be the backbone of our cloud infrastructure. You’ll architect and evolve scalable, cloud-native systems that power secure and seamless identity experiences, leveraging Kubernetes, Terraform, and AWS. Your work will accelerate deployments, fortify monitoring and observability, and ensure reliability at global scale. Partnering closely with our developers, you’ll transform complex challenges into resilient, automated solutions that keep our applications highly available and performant. You will be a key enabler of speed, trust, and innovation—driving how Incode builds, delivers, and scales AI-driven identity verification for the world.

What You’ll Own & Drive

• Cloud-Native Infrastructure – Design, implement, and maintain Kubernetes-based environments that deliver scalability, resilience, and security.
• Infrastructure as Code (IaC) – Implement and manage Terraform-driven automation to ensure consistency, repeatability, and reliability across all client deployments.
• Production Reliability – Troubleshoot and resolve issues in live environments, minimizing downtime and ensuring seamless customer experiences.
• Monitoring & Logging – Build and optimize observability solutions with Prometheus, Loki, ELK, or similar stacks, tailoring systems to business and performance needs.
• Engineering Standards – Contribute to and refine internal best practices, methodologies, and automation frameworks that elevate the DevOps culture.
• Continuous Innovation – Stay on top of AWS and DevOps advancements, introducing new tools and approaches that enhance speed, efficiency, and scalability.

The Qualities That Set You Apart

• Cloud-Native Builder – You bring proven expertise in designing, deploying, and managing applications on Kubernetes, with a deep understanding of its architecture and core concepts.
• Infrastructure as Code Champion – You’re highly skilled with Terraform, driving automation and consistency across complex environments.
• Pipeline Innovator – You have hands-on experience implementing and optimizing CI/CD workflows using GitLab CI/CD or GitHub Actions, accelerating delivery while ensuring quality.
• AWS Practitioner – You possess a strong command of core AWS services (EC2, VPC, S3, IAM, etc.) and know how to leverage them for scalable, secure solutions.
• Systems & Networking Thinker – You understand networking fundamentals—TCP/IP, DNS, HTTP/S—and apply them to build reliable, high-performance systems.
• Clear Communicator – You excel at translating technical solutions into language that resonates with both technical peers and non-technical stakeholders.

Your Background

• Proven experience as a Site Reliability Engineer / DevOps Engineer or in a similar role.
• Hands-on experience deploying and managing Kubernetes-based applications.
• Strong expertise in Terraform and infrastructure automation.
• Experience designing and implementing CI/CD pipelines with GitLab CI/CD or GitHub Actions.
• Solid understanding of AWS services including EC2, VPC, S3, IAM, and related offerings.
• Knowledge of networking protocols and best practices (TCP/IP, DNS, HTTP/S).
• Strong written and verbal communication skills, with the ability to present technical solutions effectively.

Why Incode?

• Mission with Meaning – Shape how billions of people prove identity—safely, simply, and ethically.
• Rocket-Ship Growth – Join at an inflection point where your strategies will compound in value for years.
• Elite Team & Backing – Work a truly global with top engineers, designers, and investors who share your ambition to dominate a category.
• Ownership & Autonomy – Operate like a founder with the resources of a unicorn.
• Global Impact – Every program you launch will reverberate across industries and continents.

Ready to ignite the future of trust?

Lead the narrative. Empower the field. Join Incode and turn innovation into unstoppable market momentum.

Easygo is an Australian technology powerhouse behind global brands Stake, KICK, and Twist Gaming. As we continue to build and scale our engineering presence in Belgrade, we’re looking for a Staff Frontend Engineer to establish and lead our Web Platform function, shaping the foundations of frontend development across the organisation.

About the Team

This is a newly formed team, and you will be the first hire, helping build and shape the frontend platform that powers KICK’s web experience.

The team will own the core foundations that enable product teams to deliver high-quality, consistent user experiences, including:

• Shared frontend architecture and frameworks
• Design systems and component libraries
• Performance optimisation and observability tooling
• Frontend infrastructure and developer tooling

Across the organisation, frontend engineers are embedded in stream-aligned teams focused on delivering product features. As the organisation scales, there is a growing need for shared standards, tooling, and platform capabilities - this team is being formed to address that and enable teams to move faster, with more consistency and higher quality.

As the first person in this space, you will play a key role in shaping the team’s direction, setting initial standards, and driving alignment across the frontend ecosystem. Over time, you’ll help grow and evolve the team and its impact.

Who We’re Looking For

We’re looking for an experienced Staff Frontend Engineer who thrives in ambiguous, fast paced environments and is excited about building a platform function from the ground up.

You are someone who:

• Thinks beyond individual features and focuses on systems, platforms, and enablement
• Is comfortable operating as both a technical leader and a functional owner
• Enjoys working across teams, influencing without authority, and driving alignment
• Balances hands-on engineering with mentorship and strategic thinking

This role goes beyond coding - it requires strong leadership, stakeholder management, and organisational impact.

Key Responsibilities:

• Define and drive the frontend platform strategy, architecture, and long-term vision
• Establish and evolve standards, patterns, and best practices for frontend development across teams
• Act as the technical and functional leader for the frontend ecosystem across the organisation, shaping how frontend engineering is done at scale
• Own and improve frontend developer experience (DX) across the organisation
• Build and maintain shared libraries, design systems, and internal tooling
• Partner with stream-aligned teams to understand needs, remove friction, and enable self-service capabilities
• Improve frontend performance, quality, scalability, and accessibility
• Ensure frontend systems are observable, reliable, and production-ready
• Mentor and support engineers across teams through code reviews, pairing, and knowledge sharing
• Influence and collaborate with engineering, product, and design stakeholders to align on priorities and direction
• Lead complex, cross-team initiatives from problem definition through delivery and adoption
• Communicate technical decisions, trade-offs, and progress clearly to stakeholders
  
  

Qualifications and skills:

• Bachelor’s/Master’s degree in Computer Science or equivalent practical experience
• 7+ years of experience in software engineering, with strong frontend focus
• Strong experience with JavaScript/TypeScript and modern frameworks (e.g. React, Next.js, Svelte)
• Proven experience building or contributing to frontend platforms, shared libraries, or tooling
• Strong experience with monorepos (Turborepo, PNPM, Nx, or similar)
• Hands-on experience with frontend CI/CD pipelines (GitHub Actions, Vite/Webpack/Rollup)
• Deep understanding of web performance, browser behaviour, and optimisation techniques
• Experience working in multi-team environments requiring alignment and standardisation
• Strong communication skills and ability to influence across teams
• Ability to balance hands-on work with strategic leadership responsibilities

Preferred Qualifications

• Experience setting up or leading a frontend platform or enablement function
• Experience delivering and maintaining distributed systems at scale

Why Join Easygo?

• Performance Reward: Annual bonus linked to individual and company performance.
• Professional Growth: Opportunities for development, learning, and career progression within a global organization.
• Health & Wellbeing: Private health insurance for you and your dependants.
• Office Perks: Daily catered lunch, snacks and beverages, parking reimbursement, and a modern Belgrade office.
• Global Exposure: Opportunities to collaborate with—and occasionally visit—our Melbourne headquarters.
• Team Culture: Regular team-building activities and a professional, collaborative working environment.

We believe in-person collaboration is key to building strong teams and delivering great results. This role follows a hybrid work model, with a strong on-site presence at our Belgrade office (3 days per week) and flexibility when needed.

Come as you are. Be part of something bigger. Click play on your career today.

Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.

What you’ll do:

Cloud and platform engineering (DevOps):

• Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
• Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
• Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
• Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
• Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.

Operational excellence and reliability:

• Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
• Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
• Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
• Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.

Technical leadership:

• Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
• Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
• Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.

We’d be glad to have you on our team if you:

• Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
• Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
• Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
• Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
• Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
• Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.

#LI-YY1

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

At JetBrains, we’re building an AI-native platform for software development that connects developer workflows, team-level collaboration, and organizational control into a single coherent system. This platform will serve as the execution and governance layer for AI-driven development, deeply integrated with developer tools but designed to work across teams, products, and environments. This is a long-term strategic investment for JetBrains and a key pillar of our vision for the future of software development.

We’re now looking for an experienced and proactive Full-stack QA Engineer to join our team to help us with functional and performance testing.

Your responsibilities will include: 

• Developing and maintaining an automated testing infrastructure, setting up CI/CD pipelines, selecting and integrating existing tools, and designing new ones.
• Writing and improving automated tests, particularly for APIs.
• Collaborating with the QA and Development teams to design and execute test scenarios.
• Working with logs and monitoring tools (e.g. Kibana, Grafana) to detect functional issues and performance anomalies.
• Ensuring the quality of our distributed AI-powered systems by validating integrations with various language models and APIs.

We would like you on our team if you: 

• Have at least three years of experience in software testing (manual and automated).
• Possess a solid understanding of REST APIs, request/response structures, status codes, and typical scenarios.
• Have hands-on experience with Postman or similar API testing tools.
• Are familiar with writing automated tests for APIs using any programming language or framework.
• Understand distributed systems and microservice architectures.
• Have basic Docker skills (running containers, working with Docker Compose).
• Are comfortable reading and interpreting OpenAPI/Swagger specifications.
• Have a basic understanding of authentication and authorization protocols (e.g. OAuth 2.0, API keys, and JWT).
• Can work well both independently and within a team, demonstrating strong self-management skills.
• Have a good command of English, both spoken and written.

We’d be especially thrilled if you: 

• Have hands-on experience with cloud computing platforms (AWS, GCP) and container orchestration tools (Kubernetes, Helm).
• Have experience with CI/CD tools (e.g. TeamCity or GitHub Actions).
• Have experience with performance testing tools (e.g. k6).
• Are familiar with TypeScript and/or JavaScript.
• Have worked with automated testing infrastructure and processes.
• Enjoy digging into logs and debugging distributed systems.

Main focus: 

• Quality assurance of new features
• Automation of regression testing
• Performance testing

Why join JetBrains?

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family.
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI 

Easygo is an Australian technology powerhouse behind global brands Stake, KICK, and Twist Gaming. As we continue to scale our engineering presence in Belgrade, we’re looking for a Staff/Senior DevOps Engineer to join our Stake DevOps team and help build, operate, and evolve systems used by millions of users worldwide.

This is a hands-on role for someone who enjoys ownership, solving real production challenges, and working closely with engineering teams to enable fast, reliable, and secure delivery.

Who We’re Looking For

As a Staff/Senior DevOps Engineer at Easygo, you’ll play a key role in building, operating, and continuously improving our cloud infrastructure and delivery pipelines, with a strong focus on reliability and production readiness.

You’ll work closely with software engineers, platform teams, and security, helping ensure our systems are highly available, observable, and resilient at scale. Part of the role includes shared production support within a follow-the-sun model, collaborating with teammates across regions to keep things running smoothly and to improve how we operate in production.

We value engineers who take ownership, think pragmatically, and enjoy working close to real systems. You’re comfortable balancing platform work with operational responsibility, and you’re always looking for ways to improve reliability, operational maturity, and the overall day-to-day production experience.

Key Responsibilities:

• Design, implement, and manage scalable cloud infrastructure solutions using AWS, Kubernetes (K8s), and Terraform (TF IaC).
• Develop and maintain CI/CD pipelines with tools such as ArgoCD and GitHub Actions to enable rapid and reliable deployments.
• Ensure infrastructure security, compliance, and best practices for cloud-native environments.
• Collaborate with software engineering teams to drive DevOps best practices, automation, and operational excellence.
• Implement Site-Reliability Engineering best practices.
• Improve and own observability, logging, and monitoring solutions using Datadog or similar tools.
• Provide technical leadership driving best practices in infrastructure as code, cloud security, and site reliability.
• Analyze complex problems and provide effective solutions, contributing to team goals and initiatives.
• Lead and independently complete engineering initiatives from start to finish.
• Collaborate with stakeholders including IT security, product managers, and engineering teams to effectively communicate DevOps related concerns and mitigate risks.
• Innovate within the team by pushing for improvements and driving constructive changes to enhance team performance and efficiency.
• Proactively build operational capability to detect and drive remediation of incidents before they happen.
• Continuously stay on top of an evolving environments’ landscape, promoting best practices and fostering a proactive mindset throughout the organization.

Minimum Qualifications: 

• 7+ years of hands-on experience in DevOps, SRE, or cloud infrastructure engineering, with a focus on Kubernetes, AWS, and Terraform.
• Deep expertise in managing and scaling cloud-based infrastructure with AWS services (EC2, EKS, RDS, S3, IAM, etc.).
• Strong experience in container orchestration with Kubernetes, Helm, and service meshes.
• Proficiency in CI/CD automation using ArgoCD, GitHub Actions, or similar tools.
• Hands-on experience in monitoring, logging, and observability using Datadog, Prometheus, or similar tools.
• Solid understanding of security best practices, networking, and performance tuning in distributed cloud environments.
• Excellent troubleshooting and problem-solving skills in complex distributed systems.
• Strong communication skills for effective collaboration with teams and stakeholders.
• Analytical mindset to address complex technical challenges and devise innovative solutions.
• Positive attitude and eagerness to learn new technologies to grow as a DevOps engineer.

Preferred Qualifications:

• Experience with Technology stacks like Cloudflare, Kubernetes, AWS and Datadog.
• Experience with IaC related technologies like Helm, Terraform, Terragrunt.
• Experience with CI/CD tools like ArgoCD, Github Actions, AWS Code Pipeline.
• AWS or equivalent certifications like Solutions Architect - Professional are highly desired.

Why Join Easygo?

• Performance Reward: Annual bonus linked to individual and company performance.
• Professional Growth: Opportunities for development, learning, and career progression within a global organization.
• Health & Wellbeing: Private health insurance for you and your dependants.
• Office Perks: Daily catered lunch, snacks and beverages, parking reimbursement, and a modern Belgrade office.
• Global Exposure: Opportunities to collaborate with—and occasionally visit—our Melbourne headquarters.
• Team Culture: Regular team-building activities and a professional, collaborative working environment.

We believe in-person collaboration is key to building strong teams and delivering great results. This role follows a hybrid work model, with a strong on-site presence at our Belgrade office and flexibility when needed.

Come as you are. Be part of something bigger. Click play on your career today.

Easygo is an Australian technology powerhouse behind global brands Stake, KICK, and Twist Gaming. As we continue to build and scale our engineering presence in Belgrade, we’re looking for a Senior Quality Engineer to join our Data and Integration Infrastructure team to help shape the platforms and systems that power our products globally.

About the Team

You will join an established engineering team responsible for enabling and accelerating product and service teams working on Kick. The team builds and maintains shared platform capabilities that underpin Kick’s core systems, improving reliability, consistency, and developer experience across the platform.

The team owns foundational components such as event pipelines, schema governance, service gateways, and notification delivery. These systems ensure that Kick’s services communicate reliably and that data flows across the platform are accurate, observable, and analytics-ready.

By providing robust, well-designed platform primitives and templates, the team plays a critical role in shaping how Kick is built and scaled, optimising ways of working, reducing duplication across teams, and forming the backbone for reliable integrations and data-driven decision-making.

Who We’re Looking For

We are looking for an experienced Senior Quality Engineer to help ensure the reliability, scalability, and safety of Kick’s core platform systems. In this role, you will work closely with engineers to embed quality throughout the development lifecycle, ensuring that platform components such as event pipelines, service gateways, and shared services are robust, testable, and safe for teams across Kick to build upon.

If you are passionate about improving system reliability, enabling fast and confident software delivery, and working in a collaborative, high-impact engineering environment, this role offers the opportunity to shape how quality is built into the foundations of the Kick platform.

Key Responsibilities:

• Embed quality practices within Agile product teams, and help implement the broader QA strategy across the SDLC.
• Collaborate closely with developers, product managers, and designers to define acceptance criteria, refine testability, and ensure a shared understanding of quality goals.
• Participate in code reviews and technical design discussions, providing input on testability, risk, and quality impact early in the development process.
• Identify testing risks and define appropriate testing strategies for complex features and releases.
• Promote testing best practices and support engineers in building high-quality automated and maintainable tests.
• Contribute to and extend existing automation frameworks while developing robust automated tests.
• Maintain and improve the team’s test infrastructure and tooling, ensuring efficient and maintainable test pipelines that support continuous integration and frequent deployments.
• Lead and perform exploratory testing of new and high-risk features, identifying edge cases and critical defects that automation may miss.
• Evaluate and adopt new testing tools and methodologies, contributing improvements back to the wider QA team.

Qualifications and skills:

• 5+ years of hands-on experience in Software Quality Engineering, with a proven track record of delivering high-quality software in Agile environments.
• Strong understanding of software quality principles, best practices, and testing methodologies (functional, regression, exploratory, and risk-based testing).
• Proficient in designing, developing, and maintaining automated E2E test suites using Playwright (preferred) or similar modern browser automation frameworks.
• Experience building and maintaining API test suites in Go, leveraging Go standard libraries to validate functionality, contracts, reliability, and error handling.
• Exposure to, or experience contributing to, lower-level tests such as Unit and Integration tests, with an understanding of the test pyramid and pragmatic trade-offs.
• SQL proficiency for investigation and debugging (e.g., exploring data, validating assumptions, and tracing issues in database-backed systems).
• Familiarity with Docker and Kubernetes (k8s), and cloud services (e.g., AWS, Google Cloud) to effectively test, validate, and troubleshoot modern deployments.
• Experience with CI/CD tools (e.g., AWS CodePipeline, GitHub Actions) to automate test execution and deployment workflows and ensure fast feedback.
• Experience using monitoring and logging tools (e.g., Datadog, New Relic, Grafana) to analyse system performance, detect regressions, and validate production readiness.
• Excellent problem-solving skills with a focus on preventing defects and improving reliability, not just finding bugs.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.

Preferred Qualifications

• Familiarity with event-driven architectures and messaging systems such as Kafka and AWS SQS (or equivalent), including testing asynchronous workflows and eventual consistency.
• Strong knowledge of distributed and concurrent systems, including practical understanding of transactions, consistency trade-offs, and race-condition risks in production systems.
• Exposure to performance testing tools such as k6 (or similar), with the ability to analyse performance metrics, identify bottlenecks, and drive measurable improvements.

Why Join Easygo?

• Performance Reward: Annual bonus linked to individual and company performance.
• Professional Growth: Opportunities for development, learning, and career progression within a global organization.
• Health & Wellbeing: Private health insurance for you and your dependants.
• Office Perks: Daily catered lunch, snacks and beverages, parking reimbursement, and a modern Belgrade office.
• Global Exposure: Opportunities to collaborate with—and occasionally visit—our Melbourne headquarters.
• Team Culture: Regular team-building activities and a professional, collaborative working environment.

We believe in-person collaboration is key to building strong teams and delivering great results. This role follows a hybrid work model, with a strong on-site presence at our Belgrade office and flexibility when needed.

Come as you are. Be part of something bigger. Click play on your career today.