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Fellow Software Engineer-Eng (Agentic AI Architecture & Engineering)
UKG
Remote, United States
Technical Proficiency: Expert-level skills in programming languages (e.g., Python, Java) and AI frameworks (e.g., TensorFlow, PyTorch). Strong understanding of cloud platforms (AWS, Google…
Added 1 min ago
F
Member of Technical Staff, Applied AI
Finch
New York City, NY
- $180,000 to $280,000 USD / year
- Proficiency in Python and comfort working with React, LLM APIs, and agent frameworks.
Added 1 min ago
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Member of Technical Staff
Finch
New York City, NY
- $180,000 to $280,000 USD / year
- Build reliable, performant systems across our core workflows using Python/Django, React, and AWS.
Added 12 mins ago
Senior Enterprise AI Security Engineer
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…incredible responsibility and, as a Senior Enterprise AI Security Engineer, it’s your job to protect the team so we can protect the…
Added 12 mins ago
Principal Software Engineer (Prisma Access)
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As a Principal Software Engineer for Prisma Access, you lead the design, architecture, and deployment of core network data path services within the Prisma Access platform. Palo Alto…
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Analytics Engineer Intern
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As an Analytics Engineer Intern, you focus on high-quality technical execution, data curiosity, and rapid skill acquisition within the ED&A data transformation lifecycle. Operating under…
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Software Engineer, Test Infrastructure (AI DevEx)
Sift Stack, Inc.
Marina Del Rey, CA · San Francisco, CA
- $180,000 to $230,000 USD / year
Sift is hiring a Senior Software Engineer to build and own the developer infrastructure and testing environments that enable our engineers to ship software faster and with greater…
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AI Engineer
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Atlanta, GA
Develop secure, cloud-native application services and user interfaces using Python, web frameworks, containers, and Azure services.
Added 30 mins ago
ML Engineer-Databricks
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Design and develop scalable ML models and workloads on cloud ML platforms such as Azure ML Studio, AWS, or GCP.
Added 35 mins ago
Senior Backend Software Engineer - Kalepa for Operations
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Lead the scoping, design, and delivery of complex backend systems in Python on AWS: services, data models, and asynchronous pipelines.
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Intermediate Software Engineer
Cedar Rapids, IA · Denver, CO · Philadelphia, PA
- $80,000 to $92,000 USD / year
One year of experience in software development using Java, Python, and AWS.
Added 45 mins ago
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Data Engineer
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- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
Added 54 mins ago
Lead Software Engineer
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As a Lead Software Engineer, you will develop and execute key technology components of the Group Benefits Absence Platform. Absence Comprehensive Experience (ACE) is one of the key…
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Security Engineer, GRC
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Treasure AI is hiring a Security Engineer, GRC to architect, build, and automate the systems that power our Trust & Assurance (T&A) program. The right person for this role gets frustrated…
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Staff Reliability Engineer - Veza
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We are seeking an exceptional Staff Site Reliability Engineer to lead critical infrastructure initiatives and drive innovation across our organization. You'll architect scalable solutions,…
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Data Engineer
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- $50 to $57 USD / hour
Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
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Data Engineer
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Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
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Senior IAM Engineer
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Assure standing admin access. Just-in-time elevation across Okta, AWS, and our claims and payment platforms.
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Capital One Shopping Tech, Full - stack Engineer 5 (Remote - Eligible)
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and…
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Senior Software Engineer
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Must have: strong skills in Go, Python, Java, or C/C++; hands-on AWS and/or GCP; Linux internals; Docker; CI/CD.
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Data Engineer
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Our client seeks a Data Engineer to design and implement high-performance data pipelines at scale. The role will focus on building reliable ingestion and transformation processes, enforcing…
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Senior Software Engineer - Backend / Cloud Services
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The Senior Software Engineer (Backend/Cloud Services) provides hands-on technical leadership for the backend systems that support Hunter’s AWS-based IoT consumer application. This role owns…
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Jr. AI Native Engineer
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We are looking for an AI Native Engineer who has spent the last few years building strong software engineering foundations while actively exploring what's possible with AI. You are someone…

NALEJ

Platform Engineer

Arlington, VA, United States

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Job details

Experience: 3+ years of experience in platform, infrastructure, DevOps, or SRE work.
Posting language: English
Posted: Oct 28, 2026

Original job description

Job Description

Platform Engineer

Location: Ballston, VA

About NALEJ

NALEJ is building NALEJ OS, an AI-native, enterprise open-source developer platform for what we call the three D's: develop, deploy, and day 2 operations. It covers the whole software lifecycle on one platform, from cloud to edge: teams write code, ship it, and run it in production. We build dual-use technology across DevSecOps, DataSecOps, AI/ML Ops, Cyber Ops, and Network Ops for defense and commercial customers. We deliver it as SaaS, PaaS, IaaS, hybrid, and air-gapped deployments. Security is built in, including secure edge networks and compliance with IL4–IL6, SAP, MOSA, NIST, and Zero Trust standards.

About the team

The platform team builds and operates NALEJ OS, a production multi-cluster Kubernetes platform that serves multiple customer tenants. We own the full stack: cloud infrastructure, clusters, the service mesh, GitOps delivery, and the web applications tenants use every day.

We're an AI-first startup, and we build that way. Every engineer works with AI agents every day, using context files, custom agents, and shared memory tuned to our platform. You'll work with the newest tools as they come out. You'll build AI workflows that automate work people used to do by hand. You'll also ship entire features yourself, with agents working alongside you. Our team is small, so good ideas move from conversation to production fast, and nobody waits for permission to own something.

We're looking for generalists. In one day you might write infrastructure code in the morning, debug cross-cluster routing at lunch, and build an agent workflow before you log off. Depth in one area is great, but the job is ownership across all of them, and there's plenty of room to grow into whatever interests you most.

What you'll do

Infrastructure and clusters

Design, build, and operate cloud infrastructure as code across multiple accounts and environments.
Run multi-cluster Kubernetes in production. This covers cluster and node lifecycle, upgrades, access control, admission policy, and custom resources.
Automate environment creation end to end, so standing up a new customer environment takes as little human involvement as possible.

Delivery

Own the path from commit to production: CI pipelines, image builds, rendered configuration, and GitOps sync.
Build safe promotion between environments, including progressive delivery with automated rollback driven by metrics.
Build AI-driven workflows that take over the release and promotion work engineers still do by hand.

Networking, security, and identity

Operate the service mesh, including cross-cluster routing, mutual TLS, and traffic isolation between tenants.
Build zero-trust controls into the platform: policy enforcement, certificate management, workload identity, secrets management, and runtime threat detection.
Maintain the authentication chain that protects platform and tenant applications, from the identity provider through the auth proxy.

Observability and AI operations

Maintain metrics, logs, and alerting across every cluster.
Build agents that read those signals, triage problems, and propose fixes.

AI-powered engineering and ownership

Shape how the team works with AI. Design new agents, skills, and workflows, then roll them out to the rest of the team.
Help ship AI features into the product itself.
Build and improve the internal tools that make the whole team faster.
Take platform initiatives from design to delivery. Manage scope, dependencies, and timelines, and work with product, application, and test engineers early so new features fit the platform cleanly.

What you'll bring

Required

3+ years of experience in platform, infrastructure, DevOps, or SRE work.
Experience with infrastructure as code using tools such as Terraform, Pulumi, Crossplane, or CloudFormation.
Hands-on experience with containers and Kubernetes, including deploying, operating, and debugging workloads in production.
Experience with at least one major cloud provider, such as AWS, Azure, or GCP.
Experience with CI/CD and an understanding of GitOps or other declarative delivery models.
Solid networking fundamentals: DNS, TLS, load balancing, and how traffic flows between services.
Working knowledge of modern identity and auth, including OIDC, OAuth 2.0, and JWTs.
Programming skills in at least one modern language. We work mostly in Go, Python, and TypeScript, and you should be willing to pick up the others.
Real enthusiasm for AI-assisted development and an appetite for trying new tools.
Strong drive and a self-starter mindset. You find problems without being told and follow through.
Clear written communication. You can explain a design decision and its tradeoffs to someone who wasn't in the room.

Preferred

Experience running multi-cluster or multi-tenant Kubernetes in production.
Experience with a service mesh such as Istio, Linkerd, or Cilium.
Experience with policy as code and Kubernetes security tools, such as Kyverno, OPA Gatekeeper, or Falco.
Experience with observability stacks, such as Prometheus, Grafana, Loki, or OpenTelemetry.
Experience with progressive delivery, such as canary or blue-green releases with automated analysis.
Experience in regulated or security-sensitive environments, such as defense, healthcare, or critical infrastructure, or with compliance frameworks such as NIST 800-53, FedRAMP, or DoD Impact Levels.
Experience building with LLMs, such as agent workflows, MCP servers, AI developer tooling, or AI product features.
Cloud or Kubernetes certifications, such as AWS Solutions Architect, CKA, or CKS.
A bachelor's or master's degree in computer science, engineering, or a related field, or equivalent experience.

What success looks like

You take a project from idea through architecture, implementation, and production, and you own it after launch.
You ship complete features on your own, with AI agents writing, testing, and reviewing code alongside you.
You replace a manual process with an AI workflow that runs without anyone touching it.
You become the go-to expert for a major part of the platform and help set its direction.
You help shape how the whole team builds with AI.

Additional requirements

U.S. citizenship is required.
This role may require the ability to obtain a Secret clearance.

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