Level

Thales

Senior Site Reliability Engineer

AI in this role

Location: Bangalore - Indraprastha, India

Thales is a global technology leader trusted by governments, institutions, and enterprises to tackle their most demanding challenges. From quantum applications and artificial intelligence to cybersecurity and 6G innovation, our solutions empower critical decisions rooted in human intelligence. Operating at the forefront of aerospace and space, cybersecurity and digital identity, we’re driven by a mission to build a future we can all trust.

Present in India since 1953, Thales is headquartered in Noida and has other operational offices and sites spread across Delhi, Gurugram, Bengaluru and Mumbai, among others. Over 2200 employees are working with Thales and its joint ventures in India. Since the beginning, Thales has been playing an essential role in India’s growth story by sharing its technologies and expertise in Defence, Aerospace and Cyber & Digital sectors. Thales has two engineering competence centres in India - one in Noida focused on Cyber & Digital business, while the one in Bengaluru focuses on hardware, software and systems engineering capabilities for both the civil and defence sectors, serving global needs. The Group has also established an MRO (Maintenance, Repair & Overhaul) facility in Gurugram to provide comprehensive avionics maintenance and repair services to Indian airlines and support the growth of the local aviation industry.

Skills & Competencies

  • At least 3 years of professional experience within a cloud/web/CDN scale infrastructure

  • Experience with Python and Go. C/C++ a plus

  • 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

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

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.

How we score this

Senior Site Reliability Engineer at Thales scores 36 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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