Epam Kazakhstan (Эпам Казахстан),ТОО

Our Business Partnering Service unit needs a Revenue Operations Analyst. We seek individuals with top-notch corporate finance and financial management skills, an eye for detail, and a passion for delivering outstanding results. You will be an integral part of EPAM's Global Finance department, specifically working within the Business Partnering Services (BPS) team. BPS handles administrative and financial functions that foster strong relationships between EPAM's leadership and our esteemed clients. Collaborating with over 300+ experts, you will play a vital role in expanding the business and driving our financial growth. Mix remote work with in-office engagements by visiting the EPAM office in Astana or enjoying the comfort of working from home. The choice is yours! Responsibilities Calculate revenue based on timesheets, contracts and internal policies Prepare accounts for monthly/annual closure procedures and conduct in-depth revenue analysis by periods and volatility causes Provide short-term and long-term revenue forecasts per company rules Dive into the world of contracts: review and analyze financial points, assist in drafting and budgeting Deal with EPAM internal systems: enter or validate the correctness and completeness of the data Generate reports for internal and customer needs Conduct financial health checks of individual accounts Be the driving force behind building efficient processes on accounts: offer consulting services to the project team on revenue recognition, invoicing and time reporting Collaborate with the auditors' team: provide audit support for the timely completion Requirements Readiness to shifted working hours 12 PM – 9 PM (UTC+6) / 11 AM – 8 PM (UTC+5) At least one year of experience in audit, accounting and financial sphere Availability of higher economic education degree, demonstrating a solid foundation in financial principles Advanced Excel skills, including pivot tables, charts, and proficiency in various formulas (mathematical, logical) Background in MS Office, particularly Word and PowerPoint B2+ English, both verbal and written Nice to have Desire to dive into large amounts of data, unleashing your analytical prowess Excellent communication skills, allowing you to collaborate with teammates, business representatives and clients tactfully Strong self-management skills We offer We connect like-minded people: : Delivering innovative solutions to industry leaders, making a global impact Corporate and social events Enjoyable working environment We invest in your growth: : Leadership development, career advising, soft skills and well-being programs Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru Free English classes with certified teachers Discounts in local language schools, including online courses for the Kazakh language We cover it all: : Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Six trust days per year (sick leave without a medical certificate) Coverage of psychology sessions of your choice Benefits package (sports activities, a variety of stores and services) EPAM Kazakhstan is a team of technologists and innovators united by a passion for technology. Today, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM Kazakhstan received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation.

We are looking for a Senior Golang Software Engineer to join a team building a comprehensive platform designed to evaluate Large Language Model performance and provide inference endpoints for Generative AI applications at enterprise scale. The platform enables stakeholders to systematically assess, compare, and select the most suitable LLMs for use cases, including natural language processing, customer service automation, content generation, and data analysis. It routes, secures, and governs LLM inference across multiple model providers. In this role, you will design and build scalable, production-ready backend systems using Go in a microservices architecture. You will own critical backend services, integrate with external LLM providers, and ensure reliability, performance, and security at scale. The project is in its initial strategic phase — defining personas, mapping user journeys, designing UX, and establishing a development roadmap with epics and user stories to guide future investment. This is a high-impact engineering role requiring independent execution, technical leadership, and cross-functional collaboration in ambiguous problem spaces. Experience the freedom of remote work from anywhere in Kazakhstan, whether from the comfort of your home. Responsibilities Design and implement production-grade backend features using Go in a microservices-style architecture Build and maintain provider integration frameworks for external LLM vendors (OpenAI, Anthropic, cloud AI services) Own backend service quality through robust unit and integration testing; continuously improve CI/CD quality gates Improve data access reliability and performance across PostgreSQL and Redis Collaborate cross-functionally on architecture, scalability, security, and operational excellence Lead technical design discussions and deliver solutions independently end-to-end Work with product teams on API requirements, troubleshoot issues, and identify new requirements Contribute to platform roadmap through technical input on feasibility, trade-offs, and system design Requirements 7+ years of professional software engineering experience with strong backend ownership Deep expertise in Go, including idiomatic design, interfaces, concurrency, context management, and error handling Hands-on experience building HTTP APIs, middleware, and service-oriented architectures Strong experience with PostgreSQL — schema design, query optimization, and database migration workflows Practical experience with Redis — caching strategies, counters, and distributed rate-limiting patterns Experience designing or working with authorization and policy systems (RBAC/ABAC concepts) Strong testing discipline in Go (table-driven tests, mocks, integration tests, and test containers) Experience operating production systems with observability tooling (OpenTelemetry metrics and tracing, dashboards, and alerting) Solid experience with Kubernetes and Helm deployments Strong CI/CD experience (GitHub Actions or equivalent) Demonstrated ability to lead technical design and execute independently Familiarity with GenAI concepts and OpenAI APIs, with a drive for self-learning Familiarity with AI-assisted development while maintaining strong quality and architectural standards Good communication and collaboration skills B2+ English level (written and verbal) Nice to have Experience building LLM gateways, API gateways, or multi-provider AI/ML integration platforms Experience with gRPC, cloud SDKs, or service integrations on AWS, Azure, or GCP Familiarity with API platform security controls — API keys, OIDC, secrets management, and abuse prevention Exposure to cost and performance optimization for high-volume inference or request-processing workloads Experience contributing to platform roadmap planning (epics, user stories, backlog prioritization) Background working with UX/product teams during early-stage platform definition We offer/Benefits We connect like-minded people Delivering innovative solutions to industry leaders, making a global impact Enjoyable working environment, whether it is the vibrant office or the comfort of your own home Opportunity to work abroad for up to two months per year Relocation opportunities within our offices in 55+ countries Corporate and social events We invest in your growth Leadership development, career advising, soft skills and well-being programs Certifications, including GCP, Azure and AWS Unlimited access to LinkedIn Learning and Udemy Free English classes with certified teachers We cover it all Participation in the Employee Stock Purchase Plan Monetary bonuses for engaging in the referral program Comprehensive medical & family care package Five trust days per year (sick leave without a medical certificate) Benefits package (sports activities, a variety of stores and services) EPAM is a team of technologists and innovators united by a passion for technology. In Kazakhstan, we operate across all cities with offices in Astana, Almaty, and Karaganda and work with the world's leading companies from different industries. In 2023, EPAM received the Export Excellence Award at the esteemed Digital Bridge Awards, showcasing our commitment to excellence and innovation. Our people are at the heart of our success, and we are proud to provide talents with a solid ground to develop and grow.