Senior DevOps Engineer (Cybersecurity Platform) at Sigma Software

Cluj-Napoca, , Romania -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Redis, Kafka, Elasticsearch, OpenSearch, MongoDB, GCP, Kubernetes, Docker, Infrastructure-as-Code, CI/CD, Prometheus, Datadog, Loki, Go, Python, Bash

Industry

Software Development

Description

Company Description Are you passionate about designing resilient architectures for high-scale, real-time cloud operations? We are looking for a Senior DevOps Engineer to join our team and work on cutting-edge solutions in the cybersecurity domain. This is a full-time role with flexible remote or hybrid work options. We at Sigma Software value autonomy, technical ownership, and the ability to solve complex challenges. Joining us means being part of a company that delivers innovative and secure solutions to customers worldwide. At Sigma Software, you will work with advanced technologies, contribute to impactful projects, and enjoy competitive benefits, professional growth opportunities, and a supportive team culture. CUSTOMER Our Customer is a leading cybersecurity company that develops advanced security solutions integrating AI-driven anomaly detection. The platform serves compliance-heavy industries such as finance, healthcare, and government, delivering autonomous governance, real-time operational enforcement, and protection of high-value information assets. The company is recognized for its innovative approach to safeguarding both digital and operational environments, ensuring resilience against evolving threats. PROJECT This project focuses on delivering comprehensive visibility and autonomous governance over dynamic execution patterns. It enforces real-time operational protocols to protect high-value information assets and neutralize systemic anomalies. You will work on scalable architectures, rapid prototypes, and high-security systems in a fast-paced environment to ensure reliability and performance. Job Description Architect, scale, and maintain self-managed Redis, Kafka, Elasticsearch/OpenSearch, and MongoDB clusters Collaborate with Product and Engineering teams to design resilient architectures for high-scale, real-time cloud operations Proactively identify bottlenecks and security risks, implementing robust solutions with minimal supervision Ensure high availability and disaster recovery for distributed systems through Infrastructure-as-Code and CI/CD best practices Optimize performance and reliability of cloud-native systems, focusing on observability and automated recovery processes Mentor team members and contribute to DevOps knowledge-sharing across the organization Qualifications At least 5 years of hands-on experience as a DevOps Engineer in high-traffic, real-time environments Advanced knowledge of Google Cloud Platform Production-level expertise in Elasticsearch/OpenSearch High proficiency in managing self-managed deployments of Kafka, Redis, or MongoDB Proven track record with Infrastructure-as-Code and modern CI/CD pipelines Strong skills in Kubernetes and Docker Experience with observability tools like Prometheus, Datadog, and Loki Proficiency in scripting languages (Go, Python, Bash) At least an Upper-Intermediate level of English WILL BE A PLUS: Experience with PostgreSQL or Pulumi Familiarity with additional security compliance frameworks relevant to finance, healthcare, or government sectors Contributions to open-source DevOps or security tools Additional Information PERSONAL PROFILE Self-motivated and comfortable working autonomously Passion for deep technical ownership and system optimization Strong problem-solving skills with a proactive mindset Excellent communication skills for cross-functional collaboration

Responsibilities

The engineer will architect, scale, and maintain self-managed clusters for technologies like Redis, Kafka, Elasticsearch/OpenSearch, and MongoDB while collaborating with teams to design resilient, high-scale cloud architectures. Responsibilities also include proactively identifying bottlenecks, ensuring high availability through IaC and CI/CD, and mentoring team members.