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Experience managing cloud environments (AWS, GCP, or Azure) using Terraform, Ansible, or Pulumi.
Orchestration: Hands-on experience scaling and securing containerized workloads via Kubernetes.
A track record of leading "blameless post-mortems" and using those insights to harden the system against future failures.
Ability to consult with product teams on service design to improve long-term maintainability.
A proactive engineering mindset focused on shifting from "fixing things when they break" to "designing things so they don't break" (or so they fail gracefully).
Practical fluency in applying Generative AI tools within SRE and software engineering workflows - from accelerating observability query construction and alert design to building AI-assisted debugging and triage capabilities that encode institutional knowledge into repeatable, context-aware workflows - with the engineering rigour to validate, own, and iterate on AI-assisted outputs in production-adjacent contexts
B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
Understanding of Linux internals and deep networking expertise, including HTTP/2, HTTP/3 (QUIC), and HTTPS/TLS. You should be comfortable debugging protocol-level issues and optimizing traffic flow.
Proven ability to automate repetitive tasks and complex workflows using Python or Go
Experience configuring and managing modern monitoring suites (e.g., Prometheus, Grafana, ClickHouse) with a focus on creating actionable, high-signal quality alerting.
Grasp of Data Structures and Algorithms (DSA) to write efficient, performant code and troubleshoot complex system bottlenecks.
Practical knowledge of SLIs, SLOs, Error Budgets, Release Management and Incident Management to drive engineering priorities.
Description
As a key member of the SRE team, your mission is to treat operations as a software problem. You will focus on designing and implementing a next-generation observability and alerting strategy that prioritizes high-cardinality data and meaningful signals over noise. You will spend your time building "self-healing" systems, reducing toil through aggressive automation, and partnering with development teams to bake reliability into the CI/CD pipeline. Your goal is to move us toward a proactive stance where performance bottlenecks are identified and mitigated before they impact the customer.
We are seeking a proactive Site Reliability Engineer to champion the evolution of our production ecosystems. In this role, you will help drive the vision for our visibility, moving beyond simple uptime metrics to build a sophisticated, data-driven reliability framework.
You will play a pivotal role in ensuring our services are resilient, scalable, and observable, bridging the gap between complex distributed systems and seamless user experiences.
Work at office
Full time
Austin, TX
Applications for this job are handled on the company's own website.
এই চাকরির জন্য বিজ্ঞাপনদাতা ব্যক্তি/প্রতিষ্ঠান আপনার কাছ থেকে কোন অর্থ চাইলে কিংবা নিয়োগ প্রক্রিয়া চলাকালীন কোন প্রকার হয়রানিমূলক (শারীরিক/মানসিক) আচরণ করলে অতিসত্বর আমাদেরকে জানান অথবা জবটি রিপোর্ট করুন। চাকরি পাওয়ার জন্য কোন ব্যক্তি/প্রতিষ্ঠানকে অর্থ প্রদান করবেন না। চাকরিকালীন কোন প্রকার হয়রানির (শারীরিক/মানসিক) সম্ভাবনা থাকলে সেখানে জয়েন করবেন না। কোন প্রকার অর্থ লেনদেন বা নিয়োগদাতা কর্তৃক হয়রানির দায়িত্ব Chakrie বহন করবে না।
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