Senior DevOps Engineer - AWS - Remote

Level

Senior

Department

DevOps

Type

Full Time

Project

NDA

Locations:

Ukraine

Remote

Job Details

Posted on:

November 10, 2026

Job ID:

3ZqTYb

About the Company

Established in 2004, ALLSTARSIT was founded with a clear vision: to enhance the landscape of global IT employment by bridging the gap between companies and skilled professionals. The core belief was that assembling a team shouldn't be hindered by geographical constraints. Fast forward to the present day, ALLSTARSIT stands as an international outstaffing service provider committed to change the way businesses recruit, compensate, and oversee top talent worldwide.

With operational hubs scattered across Europe, Asia, and LATAM, and its headquarters situated in San Francisco, US, the company boasts a workforce of over 1,000 adept professionals. Spanning across more than 20 countries, ALLSTARSIT offers a diverse range of skilled employees across various verticals, including AI, cybersecurity, healthcare, fintech, telecom, media, and so on.

About the Project

The leading Maritime AI company, delivering all-source operational intelligence on the maritime domain to defense, law enforcement, customs and commercial customers worldwide. We fuse AIS, dark vessel signals, EO, SAR and RF into a single operational picture, and turn it into explainable, mission-grade intelligence. Agentic AI is in the product, not just the pitch: we automate screening and investigation workflows, and customers extend them with their own templates and data sources. We build the same way — agentic development is how our engineering teams work day to day, and we expect the same from you on infrastructure work. You are joining the team that owns and evolves our commercial production platform — the environment that serves every customer we have. The work spans Kubernetes at scale, infrastructure as code, CI/CD, observability, performance and cost. You will have real ownership from the start and a direct line to the decisions, not a ticket queue.

Specialization

Headquarters

Years on the market

Team size and structure

Current technology stack

Required skills:

Must Have

6+ years in DevOps, SRE, platform or cloud infrastructure engineering, in production environments with real customers and real uptime expectations.
Deep AWS expertise: IAM, VPC design, KMS, cost management, and the services behind a multi-account production platform.
Expert-level Terraform, including module design and multi-account state management.
Strong production Kubernetes experience (EKS preferred): upgrades, scaling, troubleshooting and hardening.
Solid CI/CD experience (GitHub Actions or equivalent) and comfort owning the developer workflow end to end.
AI-first working methodology: real, daily use of coding agents and agentic workflows, with sound judgment about where automated output needs a human gate.
Track record of integrating fast — shipping meaningful work in weeks and getting productive quickly in an unfamiliar codebase.
Able to work independently and make sound architectural calls without waiting to be told what to do.

Nice to Have

Experience with SingleStore (MemSQL) — deployment, operation or migration.
Experience running managed data platforms at scale (MongoDB Atlas or equivalent).
FinOps experience — meaningful cloud cost reduction without sacrificing reliability.
Experience building internal developer platforms or self-service tooling.

Scope of work:

Own and operate our commercial AWS environment: multi-account structure, networking, identity, encryption and cost.
Run production EKS clusters — scaling, upgrades, workload isolation, resource efficiency and reliability.
Build and maintain infrastructure as code in Terraform: module design, state management, drift detection and policy guardrails.
Improve our CI/CD pipelines: faster builds, safer deployments, reproducible artifacts and controlled release paths.
Strengthen observability and incident response — meaningful alerting, useful dashboards, and shorter time to resolution.
Automate the operational work that currently costs engineering time, using agentic tooling where it genuinely fits.
Partner with R&D teams on infrastructure for new services and data pipelines, from design review through production.