Cloud Software Engineer

Modern Technology Solutions Inc•Dayton, OH

3d•Onsite

About The Position

At MTSI, you’ll build and enhance enterprise catalog and metadata services that power intelligence discovery across the Air Force and Intelligence Community. Your work will modernize how analysts access, curate, search, and share mission data, enabling rapid, secure, cloud‑native information flow across domains and security enclaves, directly strengthening decision advantage in contested environments.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field.
2–5 years of professional software engineering experience, including cloud-based development.
Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP).
Proficiency with containerization (Docker) and orchestrators such as Kubernetes.
Experience building and deploying microservices using languages such as Python, Go, or Java.
Familiarity with CI/CD pipelines (GitLab, GitHub Actions, Jenkins, etc.).
Understanding of networking fundamentals, REST APIs, and distributed systems concepts.
Ability to work effectively in Agile Scrum teams and collaborate with diverse stakeholders.
Eligibility to obtain and maintain any required security clearances.

Nice To Haves

Experience managing production Kubernetes workloads, including logging/monitoring frameworks (ELK, Prometheus, Grafana, OpenTelemetry).
Hands-on infrastructure‑as‑code experience with Terraform, Helm, or similar tools.
Knowledge of event‑driven architectures, message brokers, or cloud‑native data pipelines.
Experience working in multi‑cloud or hybrid‑cloud environments.
Familiarity with zero‑trust security models, cloud security practices, and enclave‑based deployments.
Prior experience in defense, intelligence, or mission‑critical system environments.
Certifications such as AWS Solutions Architect, Azure Developer/Administrator, GCP Cloud Engineer, CKA/CKAD, or similar.

Responsibilities

Design, develop, and deploy cloud-native microservices and backend components across multi-cloud environments (AWS, Azure, or GCP).
Build containerized services and manage Kubernetes deployments, scaling policies, service mesh configurations, and operational observability.
Implement and improve CI/CD automation, including build pipelines, automated testing, secret management, and secure deployment workflows.
Integrate cloud services with enterprise authentication, monitoring, data pipelines, and event-driven architectures.
Participate in Agile Scrum ceremonies, collaborate with cross-functional teams, and contribute to design reviews and backlog refinement.
Monitor system performance, troubleshoot issues, and optimize cloud workloads for reliability, security, and cost efficiency.
Produce and maintain technical documentation, including architecture diagrams, environment configurations, and operational runbooks.
Develop cloud-ready services and APIs using best-practice design patterns for distributed systems.
Manage Kubernetes clusters, including deploying workloads, configuring networking and ingress, tuning autoscaling, and implementing observability tools.
Build and maintain automated CI/CD pipelines supporting unit testing, integration testing, vulnerability scanning, artifact storage, and multi-environment deployments.
Implement infrastructure‑as‑code using tools such as Terraform, Helm, or similar technologies.
Integrate logging, monitoring, alerting, and tracing solutions to maintain high service availability and rapid incident response.
Ensure security best practices across cloud deployments, including identity and access management, secrets handling, and compliance requirements.
Participate in technical planning, architectural discussions, code reviews, and design walkthroughs; propose improvements to cloud architecture and engineering processes.
Work closely with SREs, platform teams, mission developers, and cybersecurity teams to ensure robust, secure, enterprise‑aligned cloud solutions.