Senior DevOps / SRE | CKA, CKAD, AWS Solutions Architect, GCP Cloud Architect | Kubernetes, Terraform, Observability

Remote


Remote

Pittsburgh, Pennsylvania, United States





Bachelor's degree, Computer Science
Vellore Institute of Technology

Data Structure and Algorithms and System Design
Scaler
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Download Tal BossSenior DevOps / SRE | CKA, CKAD, AWS Solutions Architect, GCP Cloud Architect | Kubernetes, Terraform, Observability
Senior DevOps Engineer and Site Reliability Engineer with 7+ years of experience building and operating cloud-native infrastructure at scale. Currently architecting AWS platforms from scratch with Terraform and Kubernetes (EKS) for a distributed Global company, working fully remote and async-first from India. I build platforms that are reliable, observable, and automated. At Private Holdings, I migrated production workloads from ECS to EKS with zero downtime, deployed full-stack observability (Prometheus, Grafana, Loki, Tempo), and reduced infrastructure provisioning from days to under 2 hours. At Bodo.ai, I led SOC 2 Type II certification, cut CI/CD pipelines from 45 to 20 minutes, and owned both the NestJS backend and React frontend. Core expertise: Kubernetes (CKA + CKAD), Terraform, GitHub Actions, AWS architecture, Prometheus/Grafana observability, Python automation, SOC 2 compliance. Open to senior remote SRE, Platform Engineer, and DevOps roles with globally distributed teams. Based in India, open to async collaboration across timezones.
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Founding Engineer at Stealth AI Startup, Jul 2025 - Present · 1 yr 2 mos, Remote, • Architected the entire AWS platform from scratch using Terraform (VPC, EKS, RDS Aurora, Cognito, SQS, AmazonMQ, ElastiCache, KMS, Route53, IAM/IRSA), reducing provisioning from days to under 2 hours • Migrated production workloads from ECS to EKS with zero downtime using GitOps (Helm, Helmfile, KEDA, SOPS) • Deployed full-stack observability (Prometheus, Grafana, Loki, Tempo, OpenTelemetry) with SLO-driven alerting and distributed tracing • Built CI/CD pipelines for all microservices using GitHub Actions with semantic-release and ephemeral preview environments • Reduced operational toil by building internal Python CLI tooling for secure SSM-based access to production databases • Cut ECS compute costs by 40% through Fargate Spot, right-sizing, and traffic-aligned autoscaling
DevOps Engineer at Hey Amara (HJ Recruitment), Jul 2025 - Present · 1 yr 2 mos, Architected the entire AWS infrastructure from scratch using Terraform / Infrastructure as Code (VPC, EKS, RDS Aurora, Cognito, SQS, SNS, AmazonMQ, ElastiCache, KMS, Route53, IAM/IRSA), cutting environment provisioning from days to under 2 hours. Executed a zero-downtime production migration from ECS to EKS with GitOps tooling (Helm, Helmfile, KEDA, SOPS), keeping hosted services live throughout the cutover. Deployed full-stack monitoring (Prometheus, Grafana, Loki, Alloy, Tempo, OpenTelemetry) with SLO-driven alerting and end-to-end distributed tracing across the application and hosting stack. Compulsively automated operational toil with an internal Python CLI for secure, credential-free SSM access to RDS, Redis, and RabbitMQ. Built CI/CD pipelines for every microservice on GitHub Actions with semantic-release and ephemeral preview environments. Cut compute costs 40% via Fargate Spot, right-sizing, and traffic-aligned autoscaling.
Independent Contractor at Mercor, Apr 2025 - Oct 2025 · 7 mos, Remote, • Developed reproducible Python environments for open-source repositories, enhancing reliability across training runs. • Utilized Docker to containerize applications, ensuring precise control over dependencies and configurations. • Automated environment setup and deployment through modular Dockerfiles and shell scripts, streamlining machine learning workflows. • Collaborated with cross-functional teams to minimize configuration drift and accelerate onboarding processes.
Python Developer at Mercor (x.ai / Grok), Apr 2025 - Jul 2025 · 4 mos, Standardized Python environments across ML repositories, automating dependency management and build reproducibility for distributed AI training workflows. Built internal Python CLI tooling to unify linting, testing, and packaging across teams.
Senior DevOps Engineer at bodo.ai, Apr 2022 - Mar 2025 · 3 yrs, Pittsburgh, Pennsylvania, United States, I successfully led initiatives that transformed our backend architecture and CI/CD processes, resulting in significant operational improvements. • Developed critical backend modules with NestJS and TypeScript, contributing to over 40% of the codebase. • Implemented dynamic scaling on AWS EKS, reducing EC2 costs through innovative infrastructure optimization. • Enhanced CI/CD pipeline runtime from 45 to 20 minutes by refactoring GitHub Actions with parallelized stages, caching, and dependency optimizations • Played a key role in preparing and securing SOC2 compliance by leading infrastructure hardening, audit readiness, and environment segregation. •Solely led frontend development using React which included code refactoring for reducing technical debt, developed features and ensured reliability.
Full Stack Engineer at bodo.ai, Apr 2022 - Mar 2025 · 3 yrs, Built a multi-tenant hosted JupyterHub platform on EKS from scratch, implementing custom CRDs and a Kubernetes Operator pattern for per-user pod lifecycle, custom auth (Frontegg), and chroot-jailed containers for tenant isolation - replacing a costly EC2-per-tenant model. Led SOC 2 Type II certification end to end, driving infrastructure hardening, security auditing, and audit-readiness across all production environments to maintain compliance and security posture. Wrote a Go cluster-orchestration agent that bootstraps 100+ EC2-node clusters with leader election, sequential setup coordination (NVMe, AWS config), and status reporting - replacing user_data scripts that failed above 50 nodes. Operated EKS clusters on Spot instances with graceful draining, pod disruption budgets, and automated node replacement for resilient multi-tenant hosting. Unified and accelerated CI/CD, cutting pipeline runtime from 45 to 20 minutes via parallelized stages, Docker layer caching, and dependency optimization. Mentored engineers on Kubernetes operations, incident response, and root-cause analysis; documented runbooks and post-incident reviews, and collaborated directly with app developers on metrics and deployment.
Bachelor's degree, Computer Science, Vellore Institute of Technology
Data Structure and Algorithms and System Design, Scaler