Systems Engineer

Description

Role Description

• The successful candidate will be responsible for developing and managing infrastructure such as code (IaC), software development, continuous integration, system administration, and Linux.

• The candidate will be working in managing Kubernetes environments (EKS), developing and implementing tools in Python to manage and support automation of the API Management Systems (Apigee, AWS API Gateway) and Confluent Kafka within the AWS cloud environment.

Responsibilities

• Support systems engineering lifecycle activities for engineering platforms, including requirements gathering, design, testing, implementation, operations, and documentation.

• Automating platform management processes through Ansible, Python or other scripting tools/languages with solid DevSecOps practices

• Troubleshooting incidents impacting the platform

• Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs.

• Develop documentation materials

• Participate in on-call rotations to address critical issues and ensure the reliability of data engineering systems

• Monitor, troubleshoot, and optimize the performance and reliability engineering platforms

Required Technical Experience

• Implementation experience designing and building enterprise-scale integrations with other systems in hybrid multi-cloud environments.

• Strong implementation experience with Infrastructure as Code and configuration management, including Ansible and Terraform.

• Strong development experience in Python and Linux shell scripting, including building modern accelerators to enhance or supplement integration across systems.

• Competent developing new solutions in one or more high-level languages, such as Java or Python.

• Proven experience as a DevOps Engineer with a focus on AWS.

• Strong proficiency in AWS services such as EKS, EC2, IAM, including ABAC, S3, Lambda, and VPC, with working knowledge of networking components such as VPCs, Transit Gateways, firewalls, load balancers, and similar network appliances.

• Experience and subject matter expertise working with Kubernetes, specifically EKS, and Docker containerization and developing Helm charts.

• Strong understanding and working knowledge of containers.

• Knowledge of both physical/on-premises systems and public cloud infrastructure.

• Strong understanding of Linux fundamentals and proficiency in distributed Linux environments.

• Solid understanding of networking concepts, including the OSI model, with hands-on troubleshooting experience across Layers 4–7 and a good understanding of TLS protocol and TLS certificate lifecycle management.

• Experience with monitoring and visualization tools such as Prometheus, Grafana, and Splunk.

• Experience in both Systems Engineering and Software Engineering.

• Hands-on experience delivering complex software in an enterprise environment.

• Experience utilizing AI developer tools, such as Kiro, Claude Code, Codex, or similar tools.

• 5+ years of Python and Linux shell scripting

• 3+ years of AWS DevOps experience.

Skills

python, kubernetes, Systems engineering

Top Skills Details

python,kubernetes,Systems engineering

Additional Skills & Qualifications

Experience

General

• Self-driven, self-learner willing to share knowledge and participate actively in a team environment

• Ability to troubleshoot and diagnose complex issues (e.g. including internal and external SaaS/PaaS, troubleshooting network flows)

• Able to demonstrate experience supporting technical users and conduct requirements analysis

• Can work independently with minimal guidance & oversight

• Experience with IT Service Management and familiarity with Incident & Problem management

• Highly skilled in identifying performance bottlenecks, identifying anomalous system behavior, and resolving root causes of service issues.

• Demonstrated ability to effectively work across teams and functions to influence design, operations, and deployment of highly available software

• Knowledge of standard methodologies related to security, performance, and disaster recovery

• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

 

Preferred Technical Experience

• Certification in AWS (Associate Architect/DevOps), Kubernetes CKA is a plus

• Experience with AGILE ways of working

Job Type & Location

This is a Contract position based out of Owings Mills, MD.

Pay and Benefits

The pay range for this position is $50.00 - $60.00/hr.

Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Owings Mills,MD.

Application Deadline

This position is anticipated to close on Sep 4, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.