Responsibilities
Apply SRE core tenets of measurement (SLI/SLO/SLA), eliminate toil, and reliability modeling
Enable and educate development teams on industry best practice design patterns, ways of working and operational knowledge to ensure platform continuity
Develop and architect solutions to infrastructure and operational aspects of new products and feature sets
Assist with go/no go preplanning, verification/validation, and review of existing and new product/services
Proactively analyze data and test the integrity of network/systems to ensure production applications and services are operating optimally
Work within development teams to troubleshoot and resolve business affecting issues
Escalations, incident response, RCA, and blameless postmortem
Participate in on-call rotation
Qualifications
At least 7+ years of professional experience within a cloud/web/CDN scale infrastructure
Expert Linux troubleshooting in production: isolate CPU vs memory vs IO vs network bottlenecks quickly; hands-on with top/htop, vmstat, iostat, sar, pidstat, ss, lsof, dmesg, and journald/systemd.
Strong networking fundamentals + practical debugging: deep understanding of TCP/UDP and routing basics; can prove issues using curl, dig, mtr/traceroute, nc, and tcpdump.
DNS & HTTP(S) clarity: understands resolver vs authoritative, TTL/caching, SERVFAIL/NXDOMAIN patterns; knows HTTP 502/503/504 meaning and common LB/proxy failure modes.
TLS/SSL proficiency: understands certificate chain, expiry, SNI mismatch, handshake failures; can validate quickly using openssl s_client and interpret output.
Production mindset: prioritizes mitigation first (rollback/disable/route around), then RCA; writes clear runbooks and automates repeat fixes to reduce toil.
Expert knowledge of Linux systems, network programming and protocols TCP, UDP, DNS, TLS/SSL, HTTP
Experience with BGP and Anycast routing is a plus
Experience with DevOps principles and concepts such as Infrastructure as Code (Ansible/Saltstack), CI/CD (Gitlab, Jenkins, Git), monitoring and visualization (Prometheus, Grafana)
Experience with big data technologies such as NoSQL/RDBMS, Redis, ElasticSearch, Kafka
Experience with containers and container management (Docker, Kubernetes)
Experience analyzing and building data telemetry, modeling, pipelines, UI visualization
Experience in developing software, troubleshooting, and monitoring large scale distributed systems
Implement software engineering best practices/standards and software development life cycle
Working knowledge and experience of Agile software development methodologies
A strong team player who is accountable towards business urgency
Ability to stay organized in a multi-tasking environment
Self-starter personality
At Thales, we’re committed to fostering a workplace where respect, trust, collaboration, and passion drive everything we do. Here, you’ll feel empowered to bring your best self, thrive in a supportive culture, and love the work you do. Join us, and be part of a team reimagining technology to create solutions that truly make a difference – for a safer, greener, and more inclusive world.
