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Vugar Aghayev

Vugar Aghayev

Software Engineer Systems Programming SRE

Technology / Internet

Sydney, New South Wales

Social


Services offered

Software Engineer and Lead with 10 years of experience across several domains of engineering: Frontend and Backend, Systems Programming, DevOps, DevSecOps, and Site Reliability Engineering (SRE).

Skilled in leading technical teams, designing and implementing secure solutions, and applying innovations in software development.

Strong expertise in mentoring engineers, optimising infrastructure, and implementing best practices. Experienced in agile environments and cross-functional collaboration, and effectively handling technical risks.

Passionate about driving innovation, fostering collaboration, and empowering teams to deliver scalable and secure software solutions.

Specialised in OS internals, C/C++ systems programming, performance optimisation, and observability tooling for real-time, onprem, and low-latency environments.

Strong background in performance benchmarking, NUMA optimisation, concurrency, and eBPF tracing, with a focus on designing reliable and measurable systems.

Passionate about bridging software reliability with kernel-level performance, building tools that expose the truth behind latency, throughput, and resource contention.

Approximate rate: AUD$ 140 per hour

Experience

Recent Work Experience 

Senior Site Reliability Engineer | Commonwealth Bank of Australia

Sydney, Australia | Jun 2024 – Present

Lead reliability and release governance initiatives, driving a Fast Track Release (FTR) pipeline that reduced Lead Time to Change by 50% through automated change, risk, and quality management.

Enable continuous deployment (including Blue/Green) with automated gating, post-deployment verification, and rollback strategies.

Drive Critical User Journey (CUJ) reliability for Card Origination by defining failure modes, user-centric metrics, and prioritised API and product observability.

Act as a cloud release guardrail, approving API deployments and ensuring compliance with change, security, rollback, and ownership standards.

Establish and operationalise core engineering and SRE metrics (SLI/SLO/SLA, MTTR, MTBF, Change Failure Rate, Deployment Frequency), improving observability maturity across squads.

Senior DevOps Engineer | Calven

Sydney, Australia | Aug 2022 – Feb 2024

Led cloud infrastructure design and delivery on GCP using Terraform, setting standards for scalability, availability, and cost efficiency through Infrastructure as Code.

Championed automation and DevOps best practices, improving infrastructure lifecycle management and operational reliability.

Integrated cloud-native and third-party security tooling, leading security assessments, audits, and incident response automation while promoting a security-first culture.

Designed and owned disaster recovery and business continuity strategies, defining RTO/RPO, implementing automated backups, failover, and high-availability architectures to minimise downtime and data loss.

DevOps Engineer | Socotra

Sydney, Australia | Dec 2021 – Mar 2022

Designed and implemented scalable, secure, and highly available cloud infrastructure aligned with marketplace business requirements.

Actively facilitated Agile ceremonies, collaborating with product owners and stakeholders to refine backlogs and deliver incremental value.

Mentored and trained new DevOps engineers, providing hands-on guidance in CI/CD, infrastructure automation, cloud services, and security best practices.
 


Systems Engineering Projects 

Mini Prometheus — Sliding-Window Metrics Collector

- Tech: C, Linux, pthreads, sockets

Built a lightweight Prometheus-style collector implementing sliding-window rate calculation for CPU / I/O /network counters.

Designed lock-free queues for metric ingestion and ring-buffer aggregation. Benchmarked throughput

against node_exporter using `perf` and `stress-ng`, achieving 1.2M samples/sec with <2% CPU overhead.

K-Top — Kernel-Aware Process Profiler

- Tech: C, eBPF, BCC, perf_event_open, ncurses

Developed an interactive “top”-like profiler using eBPF probes to trace context switches, CPU migrations, and I/O latency per process.

Displayed real-time NUMA imbalance and scheduling metrics with <5 µs sampling delay.

InanOS — Minimal x86 Operating System

- Tech: C, eBPF, BCC, perf_event_open, ncurses

Developed an interactive “top”-like profiler using eBPF probes to trace context switches, CPU migrations, and I/O latency per process.

Displayed real-time NUMA imbalance and scheduling metrics with <5 µs sampling delay

Real-Time Network Latency Analyser

- Tech: C++, Boost.Asio, Linux sockets, Prometheus remote_write

Built a packet-level analyser measuring RTT jitter and tail latency under load. Published live metrics to

Prometheus and Grafana; simulated congestion to study microsecond-level queueing behaviour.

On-Prem Observability Stack Simulator

- Tech: Kubernetes, Docker, C exporters, Grafana, Prometheus, Loki

Designed a full on-prem observability lab mimicking a trading-platform stack.

Developed custom C exporters exposing kernel metrics, integrated tracing via OpenTelemetry, and

benchmarked ingestion latency vs storage retention

Education

Education
- Bachelor's Degree in Computer Science & Technology (University of Sydney | 2014 – 2016)

Certification

- AWS Certified Machine Learning Engineer - Associate (AWS | September 2025)

- AWS Certified Developer – Associate (AWS | April 2020)
- Oracle Certified Associate Java Programmer (Oracle Corporation | 2013)
 

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