Performance Qa Team Lead in Belgrade

Job Overview Wargaming is looking for a Performance QA Team Lead to join our World of Warships PC team. In this role, you’ll lead the Performance QA team, drive performance testing and automation using Python, and help ensure the game delivers a smooth and stable experience for players. We’re looking for a technical leader with a strong and broad background in performance engineering, who can combine hands-on expertise with team leadership and help us continuously improve our performance testing practices. Reports to Head of QA What will you do? Lead the Performance QA team: task planning, coordination, mentoring, and technical guidance Define and maintain performance testing strategy, coverage, baselines, thresholds, and regression criteria Investigate performance regressions, identify bottlenecks, and drive root-cause analysis across client, backend, and system-level components Drive performance testing and automation across game client, backend services, network interactions, and system-level scenarios Create and maintain test infrastructure, tools, and frameworks for QA team Maintain documentation for performance tests, tools, and testing processes Collaborate with development and other teams to analyze performance results and drive improvements Integrate and maintain performance testing within CI/CD pipelines Participate in architectural and technical design reviews from a QA perspective What are we looking for? 4+ years of experience in Performance QA, Performance Engineering, or related areas Experience in leading QA teams or technical leadership 2+ years of professional experience with Python Strong understanding of performance engineering principles and the ability to investigate performance issues across complex systems Experience in at least one of the following areas: client performance, backend/load performance, distributed systems, or system-level performance analysis Upper-Interme

Job Overview We are looking for a Senior Performance QA Engineer with experience in GameDev to join our World of Warships PC team. This position is open in our Belgrade or Nicosia office . In this role, you’ll focus on performance testing and automation, helping us identify performance bottlenecks and ensure a smooth and stable experience for our players. You’ll work closely with QA and development teams to investigate, analyze, and improve game performance. If you’re enjoy sharing your expertise and learning from others, and want to contribute to the quality of a large-scale PC game, we’d love to hear from you. Reports to Lead Automation QA Engineer What will you do? Develop and maintain automated tests for functional, performance, and stability testing on Python Develop and maintain core functionality of the automation framework Analyze automated test results and investigate failures Performance testing and profiling of game client and backend services Maintain documentation for existing automated tests, frameworks, and tools Collaborate with other teams and provide support based on automated test results Participate in the development and maintenance of CI/CD pipelines and related tools Work with different teams as internal customers, understand their needs, and provide automation solutions Participate in code reviews and contribute to improving automation code quality What are we looking for? 3+ years of experience in Performance Testing or Performance QA 3+ years of experience in Automation QA or a similar position 1+ year of commercial experience in Python-based automated testing, including writing performance test suites using pytest Experience in Performance testing tools and frameworks (k6, load testing, profiling tools) Experience in analyzing and optimizing game performance (PC games) Experience with Elasticsearch for log collection and analysis Experience with CI/CD systems (Jenkins, TeamCity) Knowledge of PC architecture basics and component interaction

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Join Tenstorrent’s AI IP software team and help customers bring AI workloads to products built on Tenstorrent technology. In addition to building our own hardware platforms, Tenstorrent offers AI acceleration IP that customers can integrate into their own SoCs. You’ll work directly with those customers to help bring models into Tenstorrent workflows, answer technical questions, and solve integration challenges. This is a broad, hands-on software role spanning models, compiler and runtime workflows, and AI IP. This role is hybrid, based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A strong software engineer who enjoys working across a broad technical stack and learning new tools and workflows quickly. You have a working understanding of machine learning fundamentals and common model architectures, especially computer vision models and large language models. You don’t need to be an ML researcher or an expert in every architecture. A practical problem-solver who can turn customer questions and ambiguous requirements into clear investigations and workable solutions. A collaborative communicator who enjoys workin

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders. This role is remote or hybrid based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.” You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life. You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon. Work directly with customers in meetings, presentations, and workshops to understand their technical challe

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is looking for an EMEA Payroll Specialist to manage and strengthen payroll operations across Europe, with primary responsibility for Serbia and support for Poland and additional EMEA countries as the business grows. This role will own the day-to-day execution of monthly payroll activities in partnership with ADP Celergo, in-country payroll providers, HR, Finance, Treasury, and Tax. The ideal candidate is highly detail-oriented, comfortable working across multiple countries and time zones, and motivated to improve payroll controls, data quality, reporting, and automation. This role is hybrid, based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are You bring 3+ years of payroll operations experience, ideally supporting multiple EMEA countries or a regional payroll environment. You are highly organized and detail-oriented, with the judgment to manage multiple payroll calendars, time zones, deadlines, and competing priorities independently. You have hands-on experience working with external payroll providers and multi-country payroll platforms, with ADP Celergo experience strongly preferred. You understan

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are seeking a Software Driver Developer to create reference drivers for our AI-IP in a reference system. You will also support our AI-IP customer optimizing our reference driver into our customer specific systems. This role is hybrid, based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are Deep systems engineer with 7+ years of experience in device drivers or low-level systems programming. Strong proficiency in C and C++ with a solid understanding of hardware-software interfaces. Hands-on experience developing Linux kernel drivers, including kernel architecture, debugging, and kernel-space/user-space interactions. Experience developing drivers for high-speed I/O or interconnect technologies such as PCIe; PCIe driver development is strongly preferred. Familiar with user-mode and kernel-mode driver models and understands that Linux kernel driver development differs meaningfully from bare-metal or RTOS-based driver development. What We Need Design and evolve the driver layer that provides high-performance APIs for Tenstorrent devices. Develop and maintain user-mode and kernel-mode drivers for Te

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is building next-generation AI compute. The Kernel Development and Optimization team develops the performance-critical kernels that unlock the full capability of our hardware across ML and HPC workloads. This role is hybrid based out of Belgrade, Serbia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A strong C++ systems engineer with experience writing performance-critical or low-level software. Comfortable reasoning about concurrency, synchronization, latency hiding, and compute versus memory trade-offs. Data-driven in your approach, using profiling and benchmarking results to guide optimization decisions. Effective at debugging complex runtime or kernel-level issues in large codebases. Structured thinker who can break down ambiguous performance problems into measurable experiments. What We Need Engineers who can design, implement, and optimize GPU-style kernels such as matrix multiplication, attention primitives, and data-movement operations. Clear ownership of performance, from identifying bottlenecks to delivering measurable throughput improvements. Contribution to host-side orchestration code and parallelizati

Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature. The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces. Responsibilities: Design and implement highly available, high-performance, and scalable systems. Design and implement various tools for other engineers helping them with their day to day job. Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration. Maintain and optimize key-value and relational databases. Scale and load balance web server backends to meet rapidly changing needs. Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues. Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance. Qualifications: Strong experience with cloud infrastructure built on AWS. Proficient in database management and caching strategies. Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues. Experience working with containers (Docker, Kubernetes) and orchestration tools. Excellent communication and collaboration skills. Experience with Python and Terraform. 3+ years of DevOps/SRE/System Administration experience.

Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages Develop streaming and batch data processing with YT systems for search index construction in a high-load environment Push the limits of hardware performance through low-level optimizations and systems-level tuning Tackle challenges in multithreading, concurrency, and system-level optimization Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages Develop streaming and batch data processing systems for search index construction in a high-load environment Push the limits of hardware performance through low-level optimizations and systems-level tuning Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production Knowledge of Python or other scripting languages Knowledge of Data processing systems (YT/Kafka/Hadoop) Passion for writing clean, efficient, and scalable systems-level code Strong knowledge of algorithms and data structures, and the ability to apply them effectively Deep understanding of multithreading, including various approaches, challenges, and trade-offs Experience building high-load, distributed, and hardware-adjacent services Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) Familiarity with low-level optimization techniques (memory management,

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com . What You'll Do: DeepIntent is seeking an MLOps Engineer to join our European Data Infrastructure team. The MLOps Engineer will partner with our Data Science and AI teams to build and scale a high-performance machine learning and AI platform spanning our on-prem data centers and GPU resources - built on Python, Spark, Kubernetes, Docker, and modern orchestration frameworks (Argo Workflows, Airflow). Partner with Data Science and AI Engineering teams to adopt MLOps best practices and migrate training/inference workloads onto the platform Implement and maintain model tracking, versioning and experiment management (MLflow) with observability into model performance and drift Build CI/CD pipelines purpose-built for ML/AI artifacts (model registries, container image pipelines, automated retraining triggers) Continuously improve platform reliability, cost-efficiency and maintainability of the underlying codebase Establish monitoring and observability for ML/AI systems (Prometheus, Grafana) covering GPU utilization, model latency, throughput and custom ML metrics Design and operate ML/AI deployment infrastructure, including GPU cluster architecture, model serving and tool selection across training and inference workloads Build and maintain infrastructure for LLM and generative AI workloads, including model fine-tuning pipelines, vector databases, RAG architectures and inference optimization Collaborate with business units and Product on ML/AI-d

Perplexity is looking for a Backend/Infrastructure Engineer Intern to support our small, high-impact team building the systems that power our search experience. You will work closely with experienced engineers to help design, build, and operate robust infrastructure and backend services that keep Perplexity fast, reliable, and scalable. Internship program: 12 - 24 weeks, full-time, part-time, in-person in the Belgrade office. Responsibilities: Build and maintain infrastructure that supports high-performance search systems, with mentorship from senior engineers. Design internal tools and automation to improve developer workflows and operational efficiency. Support the design, deployment, and monitoring of cloud-native systems on AWS. Contribute to improving CI/CD pipelines, testing infrastructure, and release processes. Debug and optimize Linux-based services, containers, and backend systems. Contribute to product codebases, primarily using Rust, Go or C++. Qualifications: Working towards a degree in Computer Science, Engineering, or a related field, or equivalent practical experience. Familiarity with at least one programming language such as Go, Rust, or C/C++, through coursework or projects. Basic understanding or exposure to cloud infrastructure (e.g. AWS) and Linux systems is a plus, not a requirement. Interest in infrastructure, distributed systems, or backend engineering, with willingness to learn about CI/CD, monitoring, and performance. A proactive and curious learner who enjoys collaborating in a fast-paced, innovative environment What we're looking for: You’ve built something you’re proud of: Not just a class assignment - we want to see a project you genuinely cared about and took the initiative to build and finish. You’re currently enrolled at a Serbian university: Bachelor’s, Master’s, or PhD program or you’re self-taught with a strong passion for software engineering and technology. You’re curious, persistent, and self-driven: you take ownership, work t

P-1416 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 7+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

P-1415 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 5+ years of experience working in a related system Optional: PhD in databases or distributed systems About Dat

P-1414 Our mission at Databricks is to radically simplify the whole data lifecycle from ingestion to ETL, BI, and all the way up to ML/AI with a unified platform. To achieve this goal, we believe the data warehouse architecture as we know it today will be replaced by a new architectural pattern, Lakehouse ( CIDR 2021 paper ), open platforms that unify data warehousing and advanced analytics. This new architecture will help address several major challenges, including data staleness, reliability, total cost of ownership, data lock-in, and limited use-case support. To achieve this vision, Databricks is building the next generation (decoupled) query engine and structured storage system that can outperform specialized data warehouses in relational query performance. Yet we will retain the expressiveness and robustness of general purpose systems such as Apache Spark™ to support diverse workloads ranging from ETL to data science. You will be part of this multi-year journey. As part of this team, you will design these next-generation systems that leapfrog state-of-the-art within the following areas: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security Resource management Transaction coordination Efficient storage structures (encodings, indexes) Automatic physical data optimization The responsibilities you will have: Drive requirements clarity and design decisions for ambiguous problems Produce technical design documents and project plans Develop new features Mentor more junior engineers Test and rollout to production, monitoring. What we look for: A passion for database systems, storage systems, distributed systems, language design, or performance optimization Are comfortable working towards a multi-year vision with incremental deliverables Be customer-oriented and focused on having an impact 5+ years of experience working in a related system Optional: PhD in databases or distributed systems About Databricks

Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages Develop streaming and batch data processing systems for search index construction in a high-load environment Push the limits of hardware performance through low-level optimizations and systems-level tuning Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production Knowledge of Python or other scripting languages Passion for writing clean, efficient, and scalable systems-level code Strong knowledge of algorithms and data structures, and the ability to apply them effectively Deep understanding of multithreading, including various approaches, challenges, and trade-offs Experience building high-load, distributed, and hardware-adjacent services Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications Experience developing core components of search engines, databases, or information retrieval systems Understanding of search fundamentals: indexing, query parsing, ranking, and relevance Experience with trading systems or other latency-sensitive real-time systems Familiarity with cloud services, Kubernetes, and AWS infrastructure