Role Description We are looking for a DevOps / Site Reliability Engineer to take full ownership of infrastructure and platform operations in a fast-scaling, AI-first environment. This role is central to building a secure, scalable, and cost-efficient cloud-native ecosystem while enabling fast and reliable deployments. You will focus on automating infrastructure, improving system reliability, and embedding intelligent, AI-driven operations into DevOps workflows. As a key contributor, you will work closely with backend and product teams to ensure seamless performance, reduce operational risks, and support rapid growth. This is a high-impact role with the opportunity to shape platform architecture, drive efficiency, and contribute to next-generation engineering practices. Key Responsibilities - Design, implement, and manage scalable cloud infrastructure using AWS services such as ECS/Fargate, RDS, S3, and IAM - Build and maintain infrastructure as code using Terraform for consistent and automated deployments - Develop and manage CI/CD pipelines using GitHub Actions to ensure fast and reliable releases - Implement observability and monitoring systems using tools like Prometheus, Grafana, OpenTelemetry, and Sentry - Manage containerized environments using Docker and optimize performance under high-load conditions - Drive cost optimization initiatives across cloud infrastructure - Integrate AI-driven solutions into DevOps workflows, such as automated log analysis and predictive scaling - Collaborate with engineering teams to improve system performance, scalability, and reliability - Ensure infrastructure security, compliance readiness, and best practices - Continuously improve deployment pipelines, reduce downtime, and enhance system resilience Qualifications - 2–3+ years of experience in DevOps, SRE, or backend infrastructure roles - Strong hands-on experience with AWS infrastructure and cloud-native architectures - Expertise in Terraform and infrastructure as code practices - Proven experience with CI/CD pipelines and containerization tools like Docker - Strong understanding of observability, monitoring, and incident management - Experience troubleshooting and optimizing systems under production load - Exposure or strong interest in integrating AI/LLMs into DevOps workflows - Knowledge of security, compliance standards (SOC 2, GDPR), and infrastructure best practices - Familiarity with multi-cloud environments (GCP, Azure) is a plus - Strong ownership mindset, problem-solving ability, and clear communication skills Requirements - Min Experience: 3 years - Location: Remote (India) - Job Type: full-time - Salary range: Rs 2000000 - Rs 3500000 (ie INR 20-35 LPA)

Role Description We are seeking a skilled IT professional to join our team in Saudi Arabia. The role involves a variety of responsibilities, including: - Design, construct, install, and maintain large relational databases. - Maintain the integrity and security of the database, including backups and recovery procedures. - Implement and manage disaster recovery and failover systems. - Monitor database performance, implement changes, and apply new patches and versions when required. - Optimize queries for performance. - Collaborate with development teams to optimize database usage. - Set up and maintain database replication, clustering, mirroring, and other high availability strategies. - Use and understand tools like pgbouncer and modern monitoring systems. - Stay updated with the latest database technologies and best practices. Qualifications - Experience with PostgreSQL is mandatory. - Proficiency in PostgreSQL setup, replication, upgrade, monitoring, and performance tuning. - Experience with Clickhouse is a plus. - Can read and write complex and very complex queries. - Experience with backup and recovery procedures, as well as PITR. - Strong knowledge of database design, documentation, and coding. - Familiarity with database management tools and performance tuning techniques. - Strong problem-solving and communication skills. - Familiarity with programming/scripting languages like bash, Python, Go, etc. - Experience with DbaaS on cloud platforms such as GCP or AWS (would be a plus). Requirements - Certification in database management or equivalent training (would be a plus). - Experience in migrating large databases between cloud platforms. - Knowledge of the latest trends in database administration. - Familiarity with modern DevOps practices such as Kubernetes, Terraform, Helm. - Experience in real-time data streaming technologies such as Debezium/Flink. Benefits - Work alongside a high-performing, international engineering team in a global fintech unicorn. - Stock options (ESOP) in a fast-scaling, pre-IPO company. - Health Insurance. - Competitive salary and other bonuses.

Role Description A Deutsche Telekom MMS GmbH 2019 óta ügyfele és üzleti partnere vállalatunknak és alapvetően a DTAG csoport meghatározó innovációs és digitalizációs szolgáltatója. Ezen dinamikusan fejlődő üzletág magyarországi csapatába keresünk ambiciózus, angolul és németül magabiztosan beszélő, tapasztalattal rendelkező szakembert. Projektünk célja a kiemelkedő színvonalú digitális vásárlói élmény biztosítása, illetve a modern infrastruktúrák kialakítása, az ehhez szükséges szakmai tudás biztosításával. Amennyiben szereted a kihívásokkal teli, változatos munkakört, hétköznapjaid az agilis munkavégzés jegyeiben töltöd és szívesen használod a nyelvtudásod a mindennapi kommunikáció során, Te vagy a mi emberünk! Tapasztalt DevOps / Platform Engineer szakembert keresünk, aki kulcsszerepet vállal egy modern AI platform felépítésében és fenntartható működtetésében. Ebben a pozícióban hands-on módon dolgozol Kubernetes és Azure környezetben, és GitOps alapú megközelítéssel biztosítod a platform stabilitását és skálázhatóságát. Qualifications - Több éves tapasztalat DevOps vagy Platform Engineering területen - Magas szintű Kubernetes ismeretek - Gyakorlati tapasztalat Azure környezetben - GitOps alapú működés és deployment modellek ismerete - Hands-on szemlélet és önálló munkavégzés - Angol legalább B2 vagy Német legalább B2 Requirements - AI / gépi tanulás alapok ismerete (előnyt jelent) Benefits - Részvétel egy modern AI platform felépítésében - Legújabb technológiák használata (Kubernetes, Azure, GitOps) - Platform engineering fókuszú, innovatív környezet - Valódi szakmai kihívások és felelősség - Lehetőség hosszú távú fejlődésre cloud és AI területen

• Drive visibility, efficiency, and savings across multi-cloud infrastructure • Design and implement strategies to reduce operational costs across GCP, AWS, Firebase, and managed services • Build and maintain cost dashboards to track spend across cloud providers • Define and maintain Cost per Operation (CPO) metrics; collaborate with product owners • Set up policies, guardrails, budgets, and alerts to prevent cost overruns • Develop automation scripts to detect idle resources, right-size workloads • Break down cloud bills by team, project, and service; provide actionable insights • Partner with finance, DevOps, platform, and product teams • Provide guidance on designing cost-efficient cloud-native systems