
Technical Lead
Jersey City, NJ · HybridFull-time$63–135K/yrSeen todaySeen in employer's feed today
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At a glance
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Job overview
Mphasis seeks an AppOpps Engineer to support the reliability, scalability, and performance of Google Cloud-based services through automation, monitoring, and proactive engineering. The role includes infrastructure management, incident response, CI/CD pipeline support, and reliability engineering, with a focus on credit card processing and payment transactions. The position collaborates with cross-functional teams and follows DevOps and Agile practices.
Skills & qualifications
Skills
Qualifications
Full job description
Experience Required
1
Minimum Education Required
1
Compensation
$
Hours Per Week
40
Number Of Positions
1
Shift
First Shift (Day)
Job Description
Job Summary – AppOpps Engineer
Primary Skill*
Secondary Skill*
AppOps
Support
We are seeking a AppOpps Engineer Resource having 8+ years of professional experience ensuring the reliability, scalability, and performance of Google Cloud-based services through automation, monitoring, and proactive engineering. Key responsibilities include managing infrastructure as code (Terraform), optimizing GKE/Kubernetes, incident response, and implementing SLIs/SLOs to minimize manual toil.
This role requires close collaboration with cross functional teams, adherence to DevOps and Agile practices, and ownership of service quality and delivery.
Key Responsibilities:
GCP Infrastructure Management: Design, deploy, and maintain robust infrastructure components, including VPCs, Compute Engine, GKE (Kubernetes), and storage solutions.
Automation & IaC: Utilize Terraform or Deployment Manager to manage cloud resources and build CI/CD pipelines to automate deployments. Minimizing manual, repetitive tasks by developing automation scripts and custom tools to streamline deployments and operations.
Observability & Incident Management: Develop monitoring, ing, and logging systems (e.g., Cloud Monitoring, Prometheus, Grafana). Act as primary on-call to troubleshoot production incidents.
Incident Management: Serving as a first responder for system outages and conducting deep-dive root cause analysis (post-mortems) to prevent recurrence
CI/CD Pipeline Management: Designing and supporting automated deployment pipelines using Jenkins, ArgoCD, Artifactory, DevSecOps, GitLab CI, or GitHub Actions
Reliability Engineering: Define and maintain Service Level Indicators (SLIs) and Service Level Objectives (SLOs) - Latency, Traffic, Errors, and Saturation
Functional Domain: Define the pipeline with good understanding of Credit Card processing, Payment transaction
Payload: Define automated pipeline applicable to credit card processing for Day-0, Daily basis, and set frequency. Analyse, Triage, Fix and reload payload.
Optimization & Security: Proactively optimize infrastructure for cost, performance, and security compliance.
Site Reliability Engineer, Google Cloud Engine AI SRE at Google: Focus specifically on AI workload health, and GCE visibility
Mandatory Technical Skills & Competencies
Experience: 8+ years in SRE, DevOps, or systems engineering, specifically with Google Cloud Platform.
Technical Skills: Deep knowledge of Linux, Kubernetes (GKE), networking (VPCs, CDNs), and containerization.
Programming: Proficiency in scripting/programming languages like Python, Go, or Shell.
Methodologies: Strong understanding of GitOps, CI/CD pipelines, and SRE principles (error budgets, toil reduction)
Strong troubleshooting skills across the full stack (network, OS, application).
Ability to balance system stability with the need for rapid deployment.
Observability Tools: Experience implementing monitoring and logging stacks like Prometheus, Grafana, or the Google Cloud Operations Suite
Excellent collaboration skills to work with development teams for service ownership
Soft Skills
Strong problem-solving and analytical skills
Clear communication with technical and non technical stakeholders
Ownership mindset and production grade engineering discipline
Ability to work independently and within cross functional teams
Other details
Salary range $63000 to $134500
Equal opportunity Employer:
Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders.
VEVRAA Federal Contractor.
We request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.
Place of Work
Hybrid
Requisition ID
M-115205-23-1
Job Type
Full Time
How this job compares
Set against the 2,414 open Site Reliability Engineer jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$63–135K/yr
- New Jersey median$140–219K/yr43 salary ranges
- US median$140–230K/yr1,936 salary ranges
This range's midpoint, $99K, is 45% below the New Jersey median midpoint ($180K) — in the lowest quarter of Site Reliability Engineer salary ranges in New Jersey.
- Openings
- Olive Jobs lists 60 open Site Reliability Engineer jobs in New Jersey and 2,414 across the US. 19% of them nationwide are listed as remote or flexible.
- Hiring the most in New Jersey
- EY9 open
- JPMorgan Chase8 open
- Akamai Technologies, Inc.6 open
- Experience
- This posting asks for at least 8 years of experience; Site Reliability Engineer postings that state a minimum ask for 6 years at the median (1,981 postings).
- Education
- 580 of the 2,414 open Site Reliability Engineer jobs (24%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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