Lead Systems Analyst

KMM TechnologiesReston, VA

About The Position

Defines, designs and develops system requirements. Performs trade-off analysis of performance, life-cycle cost, risk, producibility, and other system or program requirements. Assesses architecture and current hardware limitations, defines and designs system specifications, and evaluates input/output processes and working parameters for hardware/software compatibility. Coordinates design of subsystems and integration of total system. Defines system support requirements to include monitoring, capacity, staffing and patching/updating. Analyzes and resolves program support deficiencies. Conducts independent technical investigations in systems design.

Requirements

  • Bachelor's Degree in Information Technology or Computer Science
  • 8 years proven success overseeing the design, development, and implementation of software systems and applications.
  • Minimum of 10 years of IT experience of which at least 5 years must be in AWS Cloud Platform engineering and Administration.
  • Strong Leadership experience with driving Transformation initiatives
  • 3-5 years of experience in a Site Reliability Engineering role
  • Experience with SRE principles and transformation
  • 3+ years of experience with Containerization (Kubernetes), Cloud technologies (AWS, Azure etc.), DevOps tool chain (Ansible, Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.)
  • Solid understanding of Software coding techniques and experience with full spectrum of Software engineering (Build, Integration, Test, Releasing and Deployment) leveraging Python.
  • Experience in Developing and/or challenging engineering solutions/practices and collaborating with peers within and outside of immediate team, including customers (Dev, Architects, Engineers)
  • Platform Engineering Lead with Hands -on Experience: Building robust Middleware Environments
  • Previous Linux System administration is required.
  • Must have strong hands-on knowledge of AWS platform and services but not limited to VPC, Networking, Direct Connect, Subnets, NACLs, Security Groups, EC2, S3, IAM, ELBs, Lambda, CloudWatch, CloudTrail, EKS etc.
  • Must Have Hands on current Implementation and Production level experience in AWS Cloud.
  • Hands on experience with Automation and Infrastructure Provisioning is a must –Our goal is to only provision infrastructure with Code, and Policy As Code.
  • Must be familiar with Terraform automation, Ansible playbooks, and Python code.
  • Experience with AWS Cloud Formation and CDK is required.
  • Must have hands on experience in writing Lambda functions preferably in Python (Boto3).
  • Must be well versed in writing Linux Bash scripts.
  • Minimum of One AWS certification is required.
  • 10+ years of overall experience in IT including hands-on Development and Systems engineering background.
  • Bachelor's degree in computer science, Information Technology, or related field
  • [5-10] years of experience in cloud engineering and automation, with a focus on AWS cloud services.
  • Minimum of 8-10 years of IT experience of which at least 5 years must be in AWS Cloud Automation and Administration.
  • 3-5 years of experience in a Site Reliability Engineering role
  • 3+ years of experience with implementation of Containerization (Kubernetes), Cloud technologies (AWS, Azure, or Google, etc.), DevOps tool chain (Jenkins, Artifactory, bitbucket, etc.), and technical patterns (IaC, Automated Provisioning/Release, CI/CD, etc.)
  • Must be well versed in Terraform automation, Ansible playbooks, and Python code.
  • In-depth knowledge of AWS services and solutions, including but not limited to EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, and CloudWatch.
  • Strong understanding of cloud architecture principles, design patterns, and best practices for building scalable, resilient, and secure cloud environments.
  • Proficiency in infrastructure as code (IaC) tools such as Terraform or AWS CloudFormation.
  • Exposure to Artificial intelligence patterns, Machine Learning and engineering of AWS solutions.
  • Good knowledge of leveraging Amazon Kendra, SageMaker, Lambda, Bedrock, Rag models etc.
  • Excellent communication, collaboration, and leadership skills, with the ability to effectively interact with technical and non-technical stakeholders.
  • Minimum of 1 AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer is required.
  • Solid understanding of Software coding techniques
  • Hands-on experience with CI/CD pipelines, containerization technologies (e.g., Docker, Kubernetes), and serverless computing is a plus.
  • full spectrum of Software engineering (Build, Integration, Test, Releasing and Deployment) leveraging Python.
  • Experience in Developing and/or challenging engineering solutions/practices and collaborating with peers within and outside of immediate team, including customers (Developers, Architects, and Engineers)
  • Understanding of Cloud Native Architecture
  • Linux, Shell scripting, and general admin skills
  • Network, Security, Plugins, & Storage Skills
  • AWS skills: EC2, S3, EBS, EFS, IAM, VPC, Lambda etc.
  • Cloud and DevOps certifications, e.g., AWS
  • Knowledge of programming languages and web-based technologies.
  • Ability to collaborate to solve technical problems across teams.
  • Expert -Excellent communication skills both written and verbal.
  • Expert - The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes them ineligible to perform work directly or indirectly on Federal healthcare programs (Healthcare Claims Background).
  • Must be able to effectively work in a fast-paced environment with frequently changing priorities, deadlines, and workloads that can be variable for long periods of time.
  • Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence.
  • Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.
  • FinOps Certification is required.

Nice To Haves

  • In lieu of a bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
  • Master's degree preferred.
  • Hands-on experience with Containerization and Amazon EKS is a big plus.
  • A great understanding of various DevOps toolchains, including Git/repo, Crucible, Jenkins etc.
  • Solid understanding and experience with a CI/CD tool chain.
  • Experience working with TriZetto Facets system is a plus.
  • Experience working in an Agile/Scrum environment preferred.

Responsibilities

  • Installs, tunes, upgrades, troubleshoots, and maintains all computer systems relevant to the supported applications including all necessary tasks to perform operating system administration, user account management, disaster recovery strategy and networking configuration.
  • Develop and implement techniques to prevent system problems, troubleshoots incidents to recover services, and support the root cause analysis.
  • Evaluates new systems by performing in-depth tests, including end-user reviews. Researches software and related products to support recommendations and purchasing. Determines systems integration issues by evaluating components; developing and completing performance tests; analyzing test data; studying project requirements; analyzing user and potential user input; evaluating similar and related products and systems. Develop system automation and system integration of business processes.
  • Improves engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies.
  • Acts as a mentor for junior and senior team members.
  • Communicates Architectural decisions, plans, goals, and strategies, while highlighting short-term trade-offs vs. long-term commitments and costs.
  • Engage in and improve the end-to-end Lifecycle of services, starting from Inception & design, deployment, and operations.
  • Establish automation capabilities leveraging Cloud native solutions, to improve the Developer experience.
  • Support activities, including System design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
  • Willingness to roll up the sleeves and troubleshoot difficult issues and engage the Customer.
  • Willingness to learn new AWS Services and other technologies as required.
  • Systems Scalability and sustainability leveraging automation and strive to improve our systems with changes that improve reliability and velocity.
  • Experience with Enterprise Cloud transformation and migration efforts.
  • Actively participate and help guide customers on using Cloud-native design and architecture patterns.
  • Provide Consultation on Technology infrastructure planning and engineering for assigned systems; Assesses the implications of technology strategies on infrastructure capabilities.
  • Establish strategies to migrate Legacy applications by conversion to multiple Microservices and hosting on AWS Cloud platform.
  • Leverage Cloud-native architecture components including Containers, immutable infrastructure, Microservices, Service Mesh etc., to build highly available and Fault tolerant applications.
  • Conduct research on the global technology trends and their applicability to FEPOC products in support of our internal development teams and business initiatives.
  • Promotes and ensures Modern application design, applies engineering best practices in the development and operations life cycle and mitigates vulnerabilities.
  • Monitors and manages the Stability, Availability, and Performance of enterprise systems and platforms across IT domains. o (e.g., Systems, Network, Storage, Security) by analyzing systems to identify problems, trends, and opportunities for improvement.
  • Automate end to end process to maintain (patches and upgrades) of our AWS Cloud ecosystem.
  • Makes data-driven recommendations and decisions and continuously improves the overall efficacy and efficiency of our software delivery capabilities.
  • Mentoring peers as well as engaging with others across teams and socializing solutions.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service