DevOps Engineer

🏢 Summary: Backend Engineer role focused on building and optimizing high‑performance, large‑scale data processing systems within an AI‑driven behavioral data platform. The position involves designing architectures for high‑volume data, developing distributed services, and ensuring scalability and performance in cloud environments. You will work with modern JVM technologies, streaming platforms, and observability tools in a production‑grade system used by enterprise clients. 🗂️ Requirements: Proficiency in Scala or other JVM language, Willingness to program in Rust, Solid understanding of Kafka, Solid understanding of Kubernetes, Experience with Akka or ZIO or Cats, Experience with SQL databases, Experience with NoSQL databases, Hands-on use of AI coding tools in daily development, Ability to design and scale high-volume distributed systems, Strong debugging and troubleshooting skills 📃 Skills: Scala, JVM, Rust, Kafka, Kubernetes, Akka, ZIO, Cats, SQL, NoSQL, Azure, GCP, ElasticSearch, Clickhouse, OpenTelemetry, Jaeger, GitHubCopilot, Claude, Cursor 🏢 Description: We successfully deliver an all-in-one tool - Synerise (YouTube link) . An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. ‍ Having such great solutions, we are looking for a highly motivated Backend Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. About the team Our Backend Team works primarily with Scala , Apache Kafka , ElasticSearch , Clickhouse , Kubernetes , and cloud environments ( Azure and GCP ). Observability is a first-class concern: distributed tracing (OpenTelemetry, Jaeger), structured logging, and rich metrics are embedded into how we design and operate services. What will you do on a daily basis? Develop architecture and design patterns to process and store high volume data sets. Develop software with a core focus around optimisation and performance. Translate complex functional and technical requirements into detailed design. Perform analysis of vast data stores and uncover insights. What will make us a perfect match? Programming skills in Scala or other JVM language. Programming skills in Rust or willingness to learn. Solid understanding of Kafka and Kubernetes. Experience with (at least one): Akka / ZIO / Cats. Experience with SQL and NoSQL databases. Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. Capacity to plan and scale systems to keep up with incredible growth. Excellent troubleshooting and debugging skills. A passion for building tools and automating everything. Strong analytical skills. What will convince us even more? Solid understanding of JVM internals (GC, profiling, heap and thread dumps). Experience designing and operating microservices architectures . Hands-on experience working in cloud environments ( Azure and/or GCP ), preferably with AKS. Working knowledge of Java or Python. Knowledge of ElasticSearch/Opensearch. Basic knowledge of AI/ML concepts. What can we provide for you? Work on a production-grade, large-scale system used by enterprise customers worldwide. Real technical challenges around performance, data volume, and distributed systems. Opportunities for continuous technical growth and deeper ownership over system design. Support from experienced engineers and a strong engineering culture. Influence on architectural and technical decisions within your team.

🏢 Summary: Backend Engineer role focused on building and optimizing large-scale, high-performance data processing systems within an AI-driven behavioral data platform. The position involves designing distributed architectures, processing massive datasets, and ensuring scalability and reliability in cloud environments. You will work with modern JVM and cloud-native technologies to deliver production-grade solutions for enterprise customers. 🗂️ Requirements: Proficiency in Scala or other JVM language, Experience with Rust or willingness to learn, Strong knowledge of Kafka, Strong knowledge of Kubernetes, Experience with Akka or ZIO or Cats, Experience with SQL databases, Experience with NoSQL databases, Hands-on use of AI coding tools, Ability to design and scale distributed systems, Strong troubleshooting and debugging skills 📃 Skills: Scala, JVM, Rust, Kafka, Kubernetes, Akka, ZIO, Cats, SQL, NoSQL, Azure, GCP, AKS, ElasticSearch, OpenSearch, Clickhouse, OpenTelemetry, Jaeger, Java, Python 🏢 Description: We successfully deliver an all-in-one tool - Synerise (YouTube link) . An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. ‍ Having such great solutions, we are looking for a highly motivated Backend Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. About the team Our Backend Team works primarily with Scala , Apache Kafka , ElasticSearch , Clickhouse , Kubernetes , and cloud environments ( Azure and GCP ). Observability is a first-class concern: distributed tracing (OpenTelemetry, Jaeger), structured logging, and rich metrics are embedded into how we design and operate services. What will you do on a daily basis? Develop architecture and design patterns to process and store high volume data sets. Develop software with a core focus around optimisation and performance. Translate complex functional and technical requirements into detailed design. Perform analysis of vast data stores and uncover insights. What will make us a perfect match? Programming skills in Scala or other JVM language. Programming skills in Rust or willingness to learn. Solid understanding of Kafka and Kubernetes. Experience with (at least one): Akka / ZIO / Cats. Experience with SQL and NoSQL databases. Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. Capacity to plan and scale systems to keep up with incredible growth. Excellent troubleshooting and debugging skills. A passion for building tools and automating everything. Strong analytical skills. What will convince us even more? Solid understanding of JVM internals (GC, profiling, heap and thread dumps). Experience designing and operating microservices architectures . Hands-on experience working in cloud environments ( Azure and/or GCP ), preferably with AKS. Working knowledge of Java or Python. Knowledge of ElasticSearch/Opensearch. Basic knowledge of AI/ML concepts. What can we provide for you? Work on a production-grade, large-scale system used by enterprise customers worldwide. Real technical challenges around performance, data volume, and distributed systems. Opportunities for continuous technical growth and deeper ownership over system design. Support from experienced engineers and a strong engineering culture. Influence on architectural and technical decisions within your team.

🏢 Summary: The offer is for a Scala Software Engineer to build and scale high‑throughput, event‑driven backend systems processing tens of thousands of events per second in a distributed microservices environment. The role focuses on designing reliable, low‑latency data processing architectures using Scala and modern cloud‑native technologies. You will work on large‑scale behavioral data platforms with strong emphasis on performance, consistency, and observability. 🗂️ Requirements: Strong Scala experience in production, Experience with effect systems (Cats, ZIO, Akka or Pekko), Hands-on experience with event-driven systems in production, Deep knowledge of Apache Kafka, Practical experience with Kubernetes, Experience with SQL and NoSQL databases, Ability to design scalable distributed systems, Strong debugging skills in distributed environments, Experience using AI coding tools in daily development 📃 Skills: Scala, Kafka, ElasticSearch, ScyllaDB, Kubernetes, Azure, GCP, Cats, ZIO, Akka, Pekko, OpenTelemetry, Jaeger, SQL, NoSQL, JVM, Java, Rust, Python, Bash, ETL, CQRS, Microservices, GitHubCopilot, Claude, Cursor, AKS 🏢 Description: We successfully deliver an all-in-one tool - Synerise (YouTube link) . An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. ‍ Having such great solutions, we are looking for a highly motivated Scala Software Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. About the team Our Backend Team works primarily with Scala , Apache Kafka , ElasticSearch , ScyllaDB , Kubernetes , and cloud environments ( Azure and GCP ). Observability is a first-class concern: distributed tracing (OpenTelemetry, Jaeger), structured logging, and rich metrics are embedded into how we design and operate services. The platform handles up to 28k API requests per second at peak , maintaining p95 latency below 100 ms . As part of the event processing and analytics team, you will work on systems that: Ingest and process high‑volume streams of customer behavior events from online and offline sources (peaks of 30k events per second ) Reliably store and organize event data for analytics and querying at scale Power analytical modules transforming raw events into actionable insights Must remain ordered, consistent, and reliable under heavy load Run in a distributed microservices architecture on Kubernetes We like to experiment and continuously improve. Backend and Frontend teams are supported by dedicated QA and Infrastructure teams, and AI coding assistants (such as Copilot and Claude) are part of our daily workflow — helping us move faster where it makes sense, without replacing engineering judgment. What will you do on a daily basis? Design architectures and patterns for processing and storing large-scale, high‑volume event data. Build backend software with a strong focus on performance, scalability, and reliability. Translate complex functional and technical requirements into robust system designs. Work with large datasets to ensure data correctness and meaningful analytics outcomes. Diagnose and troubleshoot issues in distributed, event-driven systems. Collaborate closely with other backend engineers, QA, and Infrastructure teams. What will make us a perfect match? Strong Scala skills with production experience using an effect system ( Cats Effect, ZIO, Akka/Pekko ). Hands-on experience designing or contributing to event-driven systems in production. Deep understanding of Apache Kafka , including partitioning, delivery guarantees, consumer groups, rebalancing, and lag. Practical knowledge of Kubernetes , sufficient to diagnose pod issues, resource limits, autoscaling, and networking. Experience working with both SQL and NoSQL databases , with a clear understanding of their trade-offs. Ability to design systems for scale: partitioning, sharding, backpressure, and tenant isolation. Strong debugging and troubleshooting skills in distributed environments. Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. What will convince us even more? Solid understanding of JVM internals (GC, profiling, heap and thread dumps). Production experience with observability : distributed tracing, structured logs, and metrics. Experience designing and operating microservices architectures , with awareness of common pitfalls. Hands-on experience working in cloud environments ( Azure and/or GCP ), preferably with AKS. Working knowledge of Java or Rust. Experience with ETL pipelines , Python, or shell scripting. Contributions to open-source projects in the Scala or JVM ecosystem. Familiarity with event sourcing and CQRS. What can we provide for you? Work on a production-grade, large-scale system used by enterprise customers worldwide. Real technical challenges around performance, data volume, and distributed systems. Opportunities for continuous technical growth and deeper ownership over system design. Support from experienced engineers and a strong engineering culture. Influence on architectural and technical decisions within your team.

🏢 Summary: The offer is for a Senior Node.js Engineer to design and develop scalable microservices in a high-traffic, AI-driven behavioral data platform. The role focuses on building REST APIs, working with PostgreSQL and Kafka, and ensuring code quality through testing and architectural collaboration. The position involves working in a modern stack within a Scrum team, contributing to distributed systems used at large scale. 🗂️ Requirements: 2–4 years of commercial experience with Node.js in production, Strong knowledge of TypeScript, Solid understanding of asynchronous programming (Promise, async/await, event loop, streams), Practical knowledge of REST, HTTP, JSON, OpenAPI, Experience with SQL, preferably PostgreSQL, Experience with ORM tools such as Sequelize, Experience writing unit and integration tests (Jest, Vitest or similar), Knowledge of clean code principles (DRY, KISS, SOLID), Proficient use of Git and code review workflow, Communicative written English 📃 Skills: Node.js, TypeScript, PostgreSQL, SQL, Sequelize, Kafka, REST, HTTP, JSON, OpenAPI, Jest, Vitest, Git, Docker, Kubernetes, GitLab, CI/CD, Python, Joi 🏢 Description: Synerise is not just another tech company. It is a space where our brilliant team consequently brings technology change to the business world and instead of following known paths, we are creating a new one – a next-generation, fully personalized, and AI-driven customer experience. We successfully deliver an all-in-one tool – Synerise. An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don’t limit ourselves solely to this solution. We’re building BaseModel – a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. Having such great solutions, we are looking for a highly motivated Senior Node.js Engineer to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. What will you do on a daily basis? Develop and maintain microservices in Node.js + TypeScript. Design and implement REST APIs aligned with OpenAPI. Work with PostgreSQL — both via Sequelize (ORM) and in raw SQL when we need finer control over the query. Event-driven processing with Kafka. Write tests — unit, integration, and end-to-end (Vitest/Jest). Review code and discuss architecture and quality with the team. Co-author technical documentation and design decisions (RFCs, design docs). Operate in 2-week sprints in a Scrum model, working closely with a dedicated Product Owner. What will make us a perfect match? At least 5 years of commercial experience with Node.js in a production environment. Strong knowledge of TypeScript. Solid foundations in asynchronous programming (Promise, async/await, event loop, streams). Practical knowledge of REST/HTTP, JSON, OpenAPI. Experience with SQL (preferably PostgreSQL) and an ORM (Sequelize or similar). Experience writing tests (Jest, Vitest, or equivalent). The ability to write clean, well-organized code (DRY/KISS/SOLID). Confident use of Git and a merge-request / code-review workflow. Communicative English in writing (documentation, code, comments). What will convince us even more? Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. Knowledge and experience with transactions and concurrent operations in PostgreSQL (or another relational database). Experience working with large datasets. Experience with Kafka or another message broker. Working with distributed systems and microservices in production. Familiarity with Docker and Kubernetes. Experience with CI/CD (e.g., GitLab CI). Basic knowledge of Python — for writing helper scripts. Schema validation (Joi) and safe error handling. Prior exposure to the CDP / loyalty domain. What can we provide for you? Work with a modern stack (Node.js, TypeScript, PostgreSQL, Kafka, Docker, Kubernetes) at real scale. Stack kept on current versions — we don't let applications drift into technical debt; we regularly modernize dependencies and tooling. Day-to-day support from AI agents (Claude Code, OpenAI tools) — treated as a standard part of our toolkit, not an experiment. Real impact on a product used by top clients in 30+ countries. Close cooperation with experienced engineers and a dedicated Product Owner. A clear rhythm of work: 2-week sprints, Scrum/Agile. A non-corporate atmosphere oriented around meritocracy — we reward thinking and quality, not hours behind a desk. Flexible working hours and no dress code.

🏢 Summary: Product Designer role focused on designing complex SaaS and AI-driven data products for enterprise users, taking ownership from discovery to high-fidelity UI. The position involves solving ambiguous product problems, collaborating with cross-functional teams, and integrating AI tools into the design workflow. The goal is to create scalable, intuitive interfaces for data-heavy and automation-based platforms. 🗂️ Requirements: Minimum 3 years experience as Product Designer or UX/UI Designer, Experience designing complex SaaS or B2B digital products, Strong portfolio demonstrating problem-solving process and impact, Proficiency in Figma and modern product design workflows, Ability to independently handle ambiguous and complex problems, Solid understanding of UX fundamentals and interaction design, Experience collaborating with Product Managers and Engineers, Willingness to use AI tools in daily design workflow 📃 Skills: Figma, UX, UI, SaaS, B2B, AI, Analytics, Automation, Prototyping, Wireframing, DesignSystems, DataVisualization, InformationArchitecture, InteractionDesign, Usability, Accessibility 🏢 Description: Synerise is not just another tech company. We are building technology that helps businesses create fully personalized, AI-driven customer experiences at scale. Our platform combines data, analytics, automation, recommendations and AI to help companies better understand customer behavior and act on it in real time. We work with leading brands across Retail, Banking, eCommerce, Automotive, Insurance and Telco, operating in more than 30 markets and processing over 150 billion transactions annually. But we do not stop there. We are also building BaseModel.ai — a foundation model for behavioral data and a platform for enterprise Data Science teams. It is another step in our mission to turn complex behavioral data into practical, business-ready intelligence. To support this vision, we are looking for a Product Designer who can help us design complex, intelligent and highly usable products for business users. About the role As a Product Designer at Synerise, you will work on advanced SaaS products used by marketers, analysts, data teams and enterprise clients. This is not a role focused only on producing screens. We are looking for someone who can understand complex problems, structure ambiguity, explore different solution directions and take responsibility for the quality of the user experience. You will work closely with Product Managers, Engineers, UX Researchers and other Designers to turn product challenges into clear, useful and scalable interfaces. A big part of this role is independent problem-solving . We expect you to be able to move from a vague business or user need to a well-thought-out design proposal: by asking the right questions, analyzing context, challenging assumptions and creatively exploring solutions. We also expect AI tools to be a natural part of your design workflow. You do not need to use one specific tool, but you should be open to using AI to support research, ideation, analysis, prototyping, writing, synthesis or design exploration. Experience with AI-assisted design workflows will be a strong advantage. What will you do on a daily basis? Lead the design process in your product area: from discovery and problem framing to ideation, prototyping, validation and high-fidelity design. Translate complex product requirements into clear, intuitive and scalable user experiences. Collaborate with Product Managers and Engineers to define solutions that are valuable for users, feasible to build and aligned with business goals. Independently investigate product problems, identify opportunities and propose improvements instead of waiting for ready-made briefs. Design user flows, wireframes, prototypes, interaction models and final UI designs. Work with UX Researchers to turn qualitative and quantitative insights into better product decisions. Use AI tools as part of your design workflow to speed up exploration, support research, structure ideas, generate alternatives or improve communication. Contribute to the development and adoption of our Design System. Take ownership of user experience quality in your area of the product. Communicate design decisions clearly to stakeholders and development teams. Share knowledge, methods and good practices with other designers and team members. What will make us a perfect match? At least 3 years of experience as a Product Designer, UX/UI Designer or similar. Experience designing large, complex digital products , preferably SaaS, B2B platforms, analytics tools, marketing tools, data products or enterprise software. A strong portfolio showing not only final screens, but also your thinking process, problem-solving approach and impact. Very good practical knowledge of Figma and modern product design workflows. Ability to work independently with ambiguous, complex problems. Strong analytical and creative thinking skills. Ability to explore multiple solution directions before choosing the best one. Strong sense of ownership, accountability and attention to quality. Good understanding of UX fundamentals: information architecture, interaction design, usability, accessibility and interface patterns. Ability to collaborate with Product, Engineering and Research. Good communication skills and openness to feedback. Willingness to use AI tools as part of your everyday design workflow. Curiosity and motivation to learn about AI, data, automation and complex product ecosystems. What will convince us even more? Experience working on one product for a longer period of time and improving it iteratively. Experience with Design Systems: creating components, documenting patterns or increasing adoption across teams. Experience validating designs using qualitative or quantitative methods. Experience designing products that involve AI, automation, recommendations, analytics, data visualization or complex workflows. Ability to run workshops, design reviews or discovery sessions. Experience working closely with developers and negotiating solution directions constructively. Experience using AI tools for research synthesis, ideation, copywriting, prototyping, competitive analysis, user-flow exploration or design critique. Good understanding of technical constraints and ability to discuss trade-offs with engineering teams. Strong organization skills and ability to prioritize work in a fast-moving environment. This role may be not for you if You prefer receiving very detailed briefs before starting design work. You are mainly interested in visual UI execution and do not enjoy product discovery or problem framing. You do not feel comfortable working with complex, technical or data-heavy products. You avoid discussions with engineers or product stakeholders. What can we provide for you? An opportunity to shape the reality by working in a fast-growing company, in the field of AI, BigData & Automation. Possibility to have real impact on promoting and raising awareness of Synerise solutions among potential customers, business partners and the industry community. Flat structure with ownership opportunities.

🏢 Summary: DevOps Engineer role focused on building, scaling, and securing cloud infrastructure while enabling efficient CI/CD workflows. The position involves managing Kubernetes-based environments on AWS, optimizing automation, and ensuring high availability and performance of systems. The role also includes infrastructure as code, monitoring, database management, and secure authentication integration. 🗂️ Requirements: BA/BS in technical field or equivalent experience, 5+ years in DevOps, SRE, or Infrastructure Engineering, Strong experience with Kubernetes, Deep knowledge of AWS core services, Experience with containerization technologies, Strong understanding of networking concepts, Proficiency with infrastructure-as-code tools, Experience with monitoring tools, Strong scripting or programming skills, Solid understanding of system security best practices 📃 Skills: Kubernetes, AWS, EC2, S3, IAM, RDS, Docker, Helm, Terraform, Pulumi, CloudFormation, Prometheus, Grafana, CloudWatch, Python, Bash, Go, PostgreSQL, SAML, OAuth2, OIDC, ELK, Loki, FluentBit, GitHubActions, Jenkins, CircleCI, Ansible, EKS, GKE 🏢 Description: We are looking for a skilled and driven DevOps Engineer to join our growing team. In this role, you will take ownership of building, maintaining, and scaling the infrastructure that powers our platform. You will ensure our systems are secure, performant, and highly available, while enabling seamless development and deployment workflows. Responsibilities: Design, implement, and manage scalable infrastructure using Kubernetes and AWS. Optimize CI/CD pipelines to improve build and deployment times and reduce friction. Monitor and troubleshoot infrastructure performance and availability. Manage and maintain relational databases, primarily PostgreSQL. Implement and support secure authentication systems using SSO protocols (e.g., SAML, OIDC, OAuth2). Enhance infrastructure as code using tools like Terraform and Ansible. Ensure security best practices are applied across all infrastructure components. Collaborate cross-functionally with development, QA, and product teams. Drive automation of operational tasks to increase team efficiency and reduce manual toil. Required Skills: BA/BS in a technical or engineering discipline or equivalent experience 5+ years of experience in a DevOps, SRE, or Infrastructure Engineering role. Strong experience with Kubernetes (EKS, GKE, or self-managed). Deep knowledge of AWS core services (EC2, S3, IAM, RDS, etc.). Knowledge of containerization technologies (e.g., Docker, Kubernetes, Helm) Solid understanding of networking concepts (VPCs, subnets, routing, firewalls, DNS). Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation). Comfortable with monitoring tools (Prometheus, Grafana, CloudWatch, etc.). Strong scripting or programming ability (Python, Bash, or Go). Solid understanding of system security and best practices. Preferred Skills: Familiarity with SSO protocols such as SAML, OAuth2, and OpenID Connect. Experience managing and tuning PostgreSQL in production environments. Exposure to log aggregation tools (ELK, Loki, or Fluent Bit). Experience with CI/CD tools like GitHub Actions, Jenkins, or CircleCI. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Senior DevOps Engineer role focused on designing, building, and operating containerized and serverless workloads on AWS. The position involves implementing Infrastructure as Code, managing Kubernetes and serverless environments, and establishing CI/CD pipelines in an Agile setting. The engineer will also support production systems, prototype new solutions, and resolve complex infrastructure challenges. 🗂️ Requirements: 5+ years of experience in DevOps or similar role, Hands-on experience with AWS (ECS, EKS, Lambda, Step Functions), Experience with Kubernetes cluster operations, Infrastructure as Code with Terraform, Helm chart authoring and maintenance, Experience building and maintaining CI/CD pipelines, Experience with Git version control, Experience with JIRA, Working knowledge of MySQL, MSSQL, Oracle or Postgres, Working knowledge of Windows and Linux, Upper-intermediate English level 📃 Skills: AWS, ECS, EKS, Kubernetes, Lambda, StepFunctions, Terraform, Helm, CI/CD, Git, JIRA, MySQL, MSSQL, Oracle, Postgres, Windows, Linux 🏢 Description: ID68699 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a Senior DevOps Engineer to design, build, and operate containerized and serverless workloads on AWS, working across ECS, EKS, Lambda, and Step Functions. You will implement infrastructure as code with Terraform and Helm, establish and maintain CI/CD pipelines and operational runbooks, and provide technical mentorship while resolving complex infrastructure challenges. The role spans both greenfield prototyping and support of existing production systems in an Agile environment. What you will do Support and improve existing functionality; Prototype new solutions; Provide technical mentorship to your colleagues; Analyze and resolve intricate technical challenges; Design, build, and operate containerized and serverless workloads on AWS; Implement Infrastructure as Code and repeatable deployments for Kubernetes and serverless stacks; Establish and maintain CI/CD pipelines, monitoring, and operational runbooks. Must haves Excellent oral and written communication skills; Ability to work independently as well as within a collaborative environment; 5+ years of experience ; Hands-on AWS experience building and operating workloads with: ECS (Fargate/EC2) for container orchestration; EKS (Kubernetes) including core K8s primitives and cluster operations; AWS Lambda for serverless compute; AWS Step Functions for workflow/orchestration; Infrastructure as Code with Terraform (writing reusable modules, workspaces, and state management); Helm (authoring and maintaining charts for Kubernetes deployments); Proficient in using software collaboration tools such as JIRA ; Working knowledge of various databases ( MySQL, MSSQL, Oracle, Postgres ); Working knowledge of various operating systems ( Windows, Linux ); Proficient in version control software such as Git ; Basic understanding of Agile Scrum methodologies; Upper-intermediate English level. Nice to haves Working knowledge of developing web-based client interfaces using React.js + TS ; Working knowledge of Java and Spring . The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: Remote-first DevOps / Senior DevOps Engineer role focused on developing and optimizing CI/CD, containerization, and infrastructure for a business-critical CCaaS platform used by B2B clients. The position involves close collaboration with development teams, automation of infrastructure processes, and building monitoring and observability solutions. The role includes shaping container orchestration direction and supporting hybrid infrastructure environments. 🗂️ Requirements: Advanced experience with CI/CD (GitHub Actions, Jenkins, Ansible), Very good knowledge of Docker, Experience with application containerization, Experience with monitoring and observability tools, Experience working closely with development teams, Ability to independently lead technical and infrastructure initiatives, Linux administration skills 📃 Skills: GitHub, Actions, Jenkins, Ansible, Docker, Swarm, Kubernetes, Prometheus, ELK, Zabbix, Linux, PHP, .NET, Node, Python, PostgreSQL, Redis, Kafka 🏢 Description: Szukamy DevOps Engineera / Senior DevOps Engineera, który będzie pracował blisko zespołów developerskich oraz rozwijał obszar infrastruktury, automatyzacji i konteneryzacji. To rola dla osoby, która rozumie kod, proces developmentu i potrafi projektować rozwiązania infrastrukturalne razem z zespołami - nie tylko obsługiwać końcowy etap wdrożenia. Pracujemy przy platformie CCaaS wykorzystywanej przez dużą bazę klientów B2B. System jest krytyczny biznesowo dla naszych klientów, a obszary związane z AI są już aktywnie rozwijane jako istotna część naszej platformy produktowej. Czym będziesz się zajmować: Budowaniem i optymalizacją pipeline’ów CI/CD we współpracy z developerami. Wspieraniem zespołów SCRUM w obszarze release, deploymentu i infrastruktury. Udziałem w projektowaniu oraz wdrażaniu usług w środowiskach kontenerowych. Rozwijaniem konteneryzacji usług. Przygotowywaniem środowiska pod dalszą standaryzację i przyszłą orkiestrację kontenerów. Rozwojem monitoringu i observability. Automatyzacją procesów infrastrukturalnych. Udziałem w deployment governance i standaryzacji procesów release. Stack: CI/CD: GitHub Actions, Jenkins, Ansible Konteneryzacja: Docker, Docker Swarm Kierunek rozwoju: Kubernetes / orkiestracja kontenerów Monitoring: Prometheus, ELK, Zabbix Systemy: Linux Dodatkowo w środowisku aplikacyjnym: PHP, .NET, Node, Python, PostgreSQL, Redis, Kafka Czego oczekujemy: Zaawansowanego doświadczenia z CI/CD: GitHub Actions, Jenkins, Ansible. Bardzo dobrej znajomości Dockera. Doświadczenia w konteneryzacji aplikacji. Doświadczenia z monitoringiem i observability. Doświadczenia we współpracy z zespołami developerskimi. Samodzielności w prowadzeniu tematów technicznych i infrastrukturalnych. Mile widziane: Znajomość Kubernetes lub doświadczenie w przygotowywaniu środowisk pod orkiestrację kontenerów. Doświadczenie w migracji aplikacji z VM do kontenerów. Doświadczenie w porządkowaniu procesów release i deployment governance. RAG, bazy wektorowe, architektury oparte o LLM Jak pracujemy Pracujemy w modelu remote-first. Jeśli jesteś z Łodzi lub Poznania, możemy spotykać się na miejscu, ale nie jest to wymagane. Zespół DevOps liczy obecnie 6 osób. Infrastruktura działa w modelu hybrydowym. Szczegóły dotyczące architektury, skali środowiska i organizacji pracy omawiamy podczas rozmowy technicznej. Rola może obejmować dyżury on-call. Szczegóły dotyczące modelu dyżurów omawiamy podczas rozmowy rekrutacyjnej. Co oferujemy Pracę remote-first. Dostęp do narzędzi AI wspierających development i automatyzację, zgodnie z firmową polityką bezpieczeństwa. Benefity dofinansowanie opieki medycznej i karty sportowej Realny wpływ na CI/CD, konteneryzację, monitoring, standardy deploymentu, standardy pracy Pracę blisko zespołów developerskich oraz produktu krytycznego biznesowo dla klientów B2B.

🏢 Summary: Hands-on SRE Operations Engineer role focused on ensuring reliability and performance of a cloud-based SaaS platform. The position involves managing Kubernetes infrastructure, improving observability, supporting CI/CD and GitOps workflows, and automating operational processes in AWS environments. Includes active participation in incident response and on-call rotations. 🗂️ Requirements: 2+ years in SRE, DevOps, or Production Operations, Experience with AWS in production environments, Experience supporting production SaaS applications, Strong knowledge of CI/CD systems, Experience with GitOps and Git, Experience with Kubernetes (EKS or kOps), Experience with Docker and containerization, Experience with observability and monitoring tools, Experience with scripting (Bash, Python, or Go), Experience with Infrastructure as Code (Terraform or Helm), Experience using GitHub, Jira, and Confluence 📃 Skills: AWS, Kubernetes, EKS, kOps, Docker, Terraform, Helm, Grafana, Prometheus, Loki, PagerDuty, Git, GitHub, Jenkins, CircleCI, GitHubActions, CICD, Bash, Python, Go, Jira, Confluence, SRE, SaaS 🏢 Description: AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for an SRE Operations Engineer to keep production and staging environments running reliably across a cloud-based SaaS platform. You’ll respond to live incidents, reduce operational toil through automation, and improve observability using Kubernetes, Terraform, Grafana, and AWS. A hands-on role with real ownership across CI/CD pipelines, GitOps workflows, and on-call rotations. What you will do Monitor and support production and staging environments in real time, ensuring high availability, performance, and stability; Respond to incidents, perform triage and root cause analysis, and contribute to post-incident reviews and remediation efforts; Participate in an on-call rotation with defined SLAs; Handle ad-hoc and unplanned operational requests from Product, Support, and internal teams; Maintain and enhance monitoring, alerting, dashboards, logs, and metrics, and improve observability practices; Support CI/CD pipelines, production releases, and GitOps workflows; Contribute to automation efforts to reduce operational toil; Maintain and improve Kubernetes-based infrastructure and containerized workloads; Support Infrastructure as Code practices and ongoing environment improvements. Must haves 2+ years of experience in Site Reliability Engineering, DevOps, or Production Operations ; Experience with AWS supporting production environments; Experience supporting production SaaS applications ; Strong understanding of CI/CD systems such as GitHub Actions, Jenkins, or CircleCI; Experience with GitOps and strong Git fundamentals; Experience using GitHub, Jira, and Confluence in collaborative environments; Experience with Kubernetes such as EKS or kOps; Experience with Docker and containerization; Experience with observability tools such as Grafana, Prometheus, Loki, or PagerDuty; Experience with scripting languages such as Bash, Python, or Go; Experience with Infrastructure as Code such as Terraform or Helm; Ability to work within structured operational processes and SLAs; Strong written and verbal English communication skills ; Self-driven with a growth mindset. Nice to haves AWS certifications such as Solutions Architect, DevOps Engineer, or SysOps Administrator ; Experience in multi-tenant SaaS environments ; Experience working in globally distributed teams ; Familiarity with ChatOps practices ; Experience improving monitoring quality and reducing alert fatigue. The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!

🏢 Summary: The offer is for a DevOps Engineer responsible for designing, building, and operating containerized and serverless workloads on AWS using ECS, EKS, Lambda, and Step Functions. The role focuses on infrastructure as code with Terraform and Helm, CI/CD pipeline implementation, and maintaining production systems in an Agile environment. It includes both greenfield development and ongoing operational support. 🗂️ Requirements: 3+ years of DevOps or relevant experience, Hands-on experience with AWS ECS (Fargate/EC2), Hands-on experience with AWS EKS and Kubernetes cluster operations, Hands-on experience with AWS Lambda, Hands-on experience with AWS Step Functions, Experience with Terraform including reusable modules and state management, Experience with Helm for Kubernetes deployments, Experience establishing and maintaining CI/CD pipelines, Proficiency with Git, Experience with JIRA, Working knowledge of MySQL, MSSQL, Oracle, Postgres, Working knowledge of Windows and Linux, Upper-intermediate English level 📃 Skills: AWS, ECS, EKS, Kubernetes, Lambda, StepFunctions, Terraform, Helm, CI/CD, Git, JIRA, MySQL, MSSQL, Oracle, Postgres, Windows, Linux 🏢 Description: ID62599 AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. Why join us If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :) About the role We are looking for a DevOps Engineer to design, build, and operate containerized and serverless workloads on AWS, working across ECS, EKS, Lambda, and Step Functions. You will implement infrastructure as code with Terraform and Helm, establish and maintain CI/CD pipelines, and provide technical mentorship while resolving complex infrastructure challenges. The role spans both greenfield prototyping and support of existing production systems in an Agile environment. What you will do Support and improve existing functionality; Prototype new solutions; Provide technical mentorship to your colleagues; Analyze and resolve intricate technical challenges; Design, build, and operate containerized and serverless workloads on AWS; Implement Infrastructure as Code and repeatable deployments for Kubernetes and serverless stacks; Establish and maintain CI/CD pipelines, monitoring, and operational runbooks. Must haves 3+ years of experience ; Hands-on AWS experience building and operating workloads with ECS (Fargate/EC2) for container orchestration; Hands-on AWS experience with EKS (Kubernetes) , including core K8s primitives and cluster operations; Hands-on AWS Lambda experience for serverless compute; Hands-on experience with AWS Step Functions for workflow/orchestration; Infrastructure as Code with Terraform , including writing reusable modules, workspaces, and state management; Experience with Helm , including authoring and maintaining charts for Kubernetes deployments; Proficient in using software collaboration tools such as JIRA ; Working knowledge of various databases, including MySQL , MSSQL , Oracle , and Postgres ; Working knowledge of various operating systems, including Windows and Linux ; Proficient in version control software such as Git ; Basic understanding of Agile Scrum methodologies; Excellent oral and written communication skills; Ability to work independently as well as within a collaborative environment; Upper-intermediate English level. Nice to haves Working knowledge of developing web-based client interfaces using React.js + TS ; Working knowledge of Java and Spring . The benefits of joining us Professional growth Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps Competitive compensation We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities A selection of exciting projects Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands Flextime Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive. Meet Our Recruitment Process Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback: Short online form to confirm basic requirements 30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process. 5-minute introduction video Synchronous stage – Live interviews Technical interview with our engineering team (scheduled at your convenience) Final interview with your future teammates If it’s a match — you’ll get an offer!