Digital Bulk Waseem Quamar SE VP

Description

Digital Bulk- OPEN to NYC or Jersey City Waseem Quamar Converts to 603/VP Beeline 311241-1 Consumer & Community Banking - Digital Agentic Initiative This is a hands-on engineering role (not just oversight), so we need candidates who are actively coding and delivering in production environments. Strong experience with Java, AWS, Kubernetes, and Terraform is required. Were also looking for good experience with agentic coding tools (AI-assisted development), ideally with concrete examples of how theyve used them to improve delivery/quality. Lead the design, build, and day-to-day operation of cloud platform capabilities and production environments at scale, emphasizing resiliency, security, and reliability Build and maintain secure Java (Java 17+) and Spring Boot services, including RESTful APIs, with strong code review and debugging Implement Infrastructure-as-Code / Everything-as-Code using Terraform, including secure provisioning and policy controls where applicable Enable and support safe release practices (e.g., rolling and blue/green deployments) for high-availability, high-scale services Improve operational stability by eliminating recurring issues and automating remediation/runbooks where appropriate Apply SRE-aligned practices (SLIs/SLOs, error budgets, incident response) and participate in formal change and incident management processes Use observability and APM tooling (e.g., Splunk, Datadog, Dynatrace) to monitor, troubleshoot, and improve production services Deliver CI/CD in a you build it, you own it culture using Git and enterprise pipelines (e.g., Jules, Spinnaker, or similar) Prototype and deliver AI-enabled/agentic workflows (e.g., tool-using agents, orchestration patterns, evaluation and guardrails) and translate stakeholder needs into technical designs Mentor engineers and partner with application teams to drive best practices across reliability, performance, risk, cybersecurity, and legal/compliance requirements Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years of applied experience. Hands-on Java/J2EE and Python development experience, with strong depth in Spring Boot and REST API design AWS platform/infrastructure engineering experience, including designing and operating cloud workloads Hands-on experience operating Kubernetes in high-availability environments, including deployments and incident troubleshooting Strong Infrastructure-as-Code experience with Terraform (modules, state management, secure provisioning practices) Production support experience using observability/APM tooling (e.g., Splunk, Datadog, Dynatrace), including root-cause analysis and reliability improvements Experience with testing practices and frameworks (e.g., JUnit, Mockito) and performance testing tools (e.g., JMeter/BlazeMeter or equivalent) Solid grounding in domain-driven design, microservices patterns, resiliency patterns, and operating services under change/incident management controls Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security. Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices Preferred qualifications, capabilities, and skills Experience with AWS services commonly used in modern platforms (e.g., ELB/ALB, Route 53, API Gateway, Lambda, ECS, managed caching such as Redis) Experience implementing policy-as-code and guardrails for cloud/Kubernetes environments Experience building platform golden paths (templates, paved roads, reusable modules) that accelerate application teams safely Experience with secrets management tooling and patterns (e.g., rotation, least privilege, auditability) in regulated environments Practical experience building or integrating AI/agentic workflows with measurable evaluation, safety controls, and monitoring in production-like environments Operate Kubernetes platforms (preferably Amazon EKS), including cluster operations, upgrades, deployment strategies, networking/ingress, configuration and secrets management, and troubleshooting in high-availability environments

Skills

java, AWS, kubernetes, spring boot, restful, terraform, APM tooling, CI/CD, Python, policy as code, agentic workflows, amazon EKS

Top Skills Details

java,AWS,kubernetes,spring boot,restful,terraform,APM tooling,CI/CD,Python

Additional Skills & Qualifications

ONSITE 5 Days

Experience Level

Expert Level

Job Type & Location

This is a Contract to Hire position based out of New York, NY.

Pay and Benefits

The pay range for this position is $75.00 - $100.00/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)

Job Type & Location

This is a Contract to Hire position based out of New York, NY.

Application Deadline

This position is anticipated to close on Nov 26, 2026.

Workplace Type

This is a fully onsite position in New York,NY.

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

Were 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. Were 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. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were 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.