Lead Engineer-DevOps Cloud
TEKsystems
Remote
$125,800 Salary, Full-Time
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Job Description
- Lead DevOps execution for the Trident platform modernization, defining target-state environment, deployment, and operational patterns to address scalability and performance constraints.
- Assess the existing AWS and application operational posture (pipelines, environments, access, monitoring, release process) and recommend improvements that enable resilient delivery and supportability.
- Partner with engineering and data stakeholders to evaluate the current PostgreSQL environment, queries/indexing, and ingestion processes and translate findings into DevOps-enabling requirements (environments, automation, migration runbooks, and operational controls).
- Enable the future-state data platform architecture by supporting the evaluation and setup approach for PostgreSQL to DynamoDB migration (including AWS DMS), OpenSearch/Elasticsearch indexing, and Kinesis-based data ingestion (producer/consumer requirements).
- Design and implement Infrastructure as Code to provision and standardize lower environments (and patterns reusable for production), including networking, IAM, secrets management, and policy guardrails.
- Build and evolve CI/CD pipelines (e.g., in Azure DevOps) for automated build, test, and deployment, improving release safety via progressive delivery, approvals, and rollback strategies as appropriate.
- Establish observability standards (metrics, logs, traces), service-level objectives, and incident response practices; drive performance and reliability improvements using measurable operational data. Technical Profile
- Required Strengths DevOps / SRE & Platform Engineering
- CI/CD and release engineering: build, harden, and operate pipelines; implement quality gates, environment promotion, artifact/versioning strategy, and dependable rollback patterns. Azure DevOps (preferred) or equivalent CI/CD tooling (GitHub Actions, Jenkins, etc.)
- Infrastructure as
Code:
strong experience with Terraform and/or CloudFormation to provision AWS resources (networking, compute, storage, and data services) with reusable modules and secure defaults.- Containers and orchestration: experience packaging workloads with Docker and operating container platforms (Kubernetes/EKS or equivalent), including deployment patterns, scaling, and runtime troubleshooting.
Observability:
monitoring, logging, and alerting; distributed tracing concepts; operational dashboards; and practical SLO/SLA approaches.Security and access:
AWS IAM, least-privilege design, secrets management, and environment controls aligned to enterprise standards.Performance and cost:
capacity planning basics, performance troubleshooting, and cost-awareness/optimization for cloud services.Data platform integration:
ability to support and operationalize AWS data services used in the Trident modernization (e.g., DynamoDB, DMS, Kinesis, OpenSearch/Elasticsearch) with appropriate deployment and runbook practices.- Ability to translate target-state architecture into an executable delivery plan (environments, pipelines, IaC modules, controls), while mentoring engineers and ensuring consistent adoption across contributors. Trident Modernization Focus Areas (AWS)
- Database and migration enablement: support assessment of PostgreSQL schema and access patterns and guide operational approach for PostgreSQL → DynamoDB migration using AWS DMS.
- Search and query platform: support evaluation and operationalization of OpenSearch/Elasticsearch for future-state query needs, including index lifecycle considerations and deployment patterns.
- Streaming ingestion: validate use of Kinesis for ingestion and define operational requirements for producer/consumer workers (scaling, failure handling, monitoring). Delivery, Governance & Ways of Working
- Own delivery hygiene for the DevOps workstream: prioritize and maintain a backlog of Epics and actionable work items in Azure DevOps, and translate assessment outcomes into implementable increments.
- Hands-on experience with tools and platforms such as: Git and branching strategies; Azure DevOps (Repos, Pipelines, Boards) or equivalent Terraform/CloudFormation; Docker; Kubernetes/EKS; and common observability stacks
- Lead-level mindset focused on operability, reliability, and automation; sets standards for production readiness and mentors others toward strong on-call and incident practices. Cloud Platform Experience (AWS)
- Strong AWS experience is required, including designing, deploying, and operating production workloads and lower environments. Core AWS services and patterns relevant to Trident modernization (e.g., IAM, VPC, DynamoDB, DMS, Kinesis, OpenSearch/Elasticsearch, CloudWatch)
- Experience operating cloud environments with strong practices for: Networking, environment segmentation, and secure connectivity patterns Identity and access (IAM), secrets management, and compliance-aligned controls Operational readiness: monitoring/alerting, backup/recovery, and cost awareness
- Ability to lead AWS trade-offs and establish platform standards that engineering teams can adopt consistently across environments. Professional Expectations
- Own DevOps technical execution for the modernization assessment and recommendations; create clarity in ambiguity and unblock teams to keep delivery moving.
- Operate with lead-level accountability for reliability, security, and delivery outcomes; proactively identify risks and drive mitigations.
- Communicate effectively with technical and non-technical stakeholders; translate findings into actionable plans, decisions, and backlog items.
- Drive alignment across engineering, data, and cloud stakeholders on target-state platform patterns (IaC, CI/CD, observability, security) and ensure consistent adoption.
- Balance delivery speed with platform stability and long-term maintainability; set the standard for operational excellence.
- Mentor engineers on DevOps practices (pipelines, IaC, on-call readiness) and contribute to knowledge sharing and standardization. Experience & Education
- Typically 8+ years in DevOps / SRE / platform engineering (or equivalent), including leading cloud modernization, CI/CD, and IaC initiatives for production systems.
- Bachelor's degree in Computer Science, Engineering, or related field preferred, or equivalent practical experience. Certifications such as AWS Certified Solutions Architect, AWS DevOps Engineer, or Kubernetes certifications are a plus but not required. Skills Engineering Top Skills Details Engineering Additional Skills & Qualifications
- Customer Facing
- work with minimal supervision
- AWS, Azure, GCP certifications are a plus but not required Experience Level Intermediate Level Job Type & Location This is a Permanent position based out of Baltimore, MD. Pay and Benefits The pay range for this position is $100600.00
- $151000.00/yr. We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc. Our full-time, internal employment benefits include the following:
- Medical, Dental, and Vision
- Critical Illness, Accident, and Hospital
- 401(k) Retirement Plan
- Pre-tax and Roth post-tax contributions available
- Life Insurance (Voluntary Life and AD&D for 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 fully remote position.
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.Similar remote jobs
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