Development Engineer

Lancesoft

Brooklyn Park, MN

Apply

JOB DETAILS

SALARY

$61.53

LOCATION

Brooklyn Park, MN

POSTED

12 days ago

Shift: Monday - Friday, standard 1st shift working hours
Duration: 06 Months
Pay range: $61.53 - $92.30/hr.
Hybrid preferred- Onsite Wednesday/Thursday
Job Summary:
This role supports the operational stability, performance, and ongoing development of demand forecasting on-demand interfaces and assortment planning capabilities through a contractor-based team located in Bangalore and Minneapolis. The team is responsible not only for real-time system monitoring, user support, and break-fix resolution, but also for contributing to feature development, system enhancements, and technical improvements.

Working closely with engineering and data science teams, this role bridges production operations and development by diagnosing issues, maintaining and enhancing data pipelines, and delivering code changes that improve system reliability and functionality.

The ideal candidate brings a DevOps-oriented mindset, combining software engineering, cloud infrastructure knowledge, and strong debugging capabilities to both support and actively develop within a complex, data-driven ecosystem.
Job Description:
We are seeking a highly skilled Application Support & Development Engineer to support and enhance demand forecasting on-demand interfaces and assortment planning capabilities. This role is critical to ensuring system reliability, performance, and continuous improvement of user-facing applications.

This position combines real-time monitoring, incident response, user support, and break-fix activities with hands-on development work, including implementing enhancements, fixing defects in code, and contributing to system and pipeline improvements. The role works in close partnership with engineering and data science teams to deliver both operational excellence and incremental product development.

The ideal candidate brings a DevOps-oriented engineering mindset, combining strong software development skills with systems operations, troubleshooting expertise, and a passion for building and maintaining high-performing, data-driven applications.

Key Responsibilities:

Monitor application health, performance, and availability across distributed systems
Troubleshoot and resolve production issues, including latency, data inconsistencies, and system failures
Perform root-cause analysis and implement durable fixes, including code changes where appropriate
Design, develop, and deploy enhancements, bug fixes, and small features across applications and data pipelines
Provide timely support to end users, including ticket triage, escalation, and resolution
Collaborate with engineering and data science teams to design, implement, and validate solutions
Support, maintain, and enhance data pipelines, ensuring reliable and efficient data flow into planning and forecasting systems
Maintain and improve observability through logging, metrics, and alerting tools
Participate in incident management processes, adhering to defined SLOs/SLAs
Contribute to documentation, runbooks, and knowledge-sharing practices
Participate in code reviews and follow best practices for testing, deployment, and maintainability
Assist with and improve deployment processes and CI/CD pipelines

Skillset Details: Application Reliability, Performance & Engineering

- Strong experience in application monitoring, troubleshooting, performance tuning, and implementing fixes in distributed systems.
- Familiarity with observability tools (e.G., Grafana, Prometheus, Splunk, Datadog, or equivalent).
- Understanding of scalability principles and experience diagnosing and resolving latency, throughput, or memory issues in production systems.
- Ability to perform root-cause analysis and translate findings into code or configuration improvements.

Software Engineering & Development

- Solid proficiency in at least one backend programming language used in the system (e.G., Python, Java, Kotlin, or Scala).
- Experience developing, testing, and deploying production-grade code, including bug fixes and enhancements.
- Familiarity with API-based systems, microservices, and event-driven architectures.
- Competence in using Git for version control, code reviews, and structured change management processes.

Data and Pipeline Engineering

- Working knowledge of data pipelines and batch/stream processing tools (e.G., Apache Spark).
- Experience developing or modifying ETL/ELT workflows and ensuring data quality and reliability.
- Understanding of data validation, logging, and error-handling practices in ML or analytics-driven applications.
- Ability to both support and enhance data pipelines feeding forecasting and planning systems.

Cloud and Deployment Infrastructure

- Hands-on experience with cloud platforms (GCP, Azure, or AWS) for building, deploying, and managing applications.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD tools (e.G., Jenkins, GitLab CI).
- Basic understanding of infrastructure-as-code (e.G., Terraform or Cloud Deployment Manager) preferred.
- Experience contributing to deployment automation and improving release processes.

Incident Response, Operations & Continuous Improvement

- Experience in production support or SRE-style operations, including ticket triage, escalation, and communication with end users.
- Ability to work within Service Level Objectives (SLOs) and contribute to reducing incident frequency through engineering improvements.
- Comfortable collaborating across time zones and balancing operational support with development priorities.

Communication and Collaboration

- Strong written and verbal communication skills to coordinate effectively with Minneapolis engineering and data science teams.
- Ability to translate user-reported issues into actionable engineering tasks and code changes.
- Proactive and collaborative approach to working with cross-functional partners (merch planners, demand planning, inventory teams).

Skillset Must Have: Application Reliability & Performance

- Experience monitoring, troubleshooting, and improving distributed systems
- Hands-on use of observability tools (Grafana, Prometheus, Splunk, Datadog, etc.)
- Ability to diagnose and resolve production issues (latency, memory, throughput)
- Strong root-cause analysis with ability to implement code/configuration fixes

Software Engineering & Development

- Proficiency in at least one backend language (Python, Java, Kotlin, or Scala)
- Ability to read, debug, modify, and write production code
- Experience building or enhancing APIs, microservices, or event-driven systems
- Version control experience (Git) and structured code review practices

Data & Pipeline Engineering

- Working knowledge of data pipelines (batch and/or streaming)
- Experience developing or supporting tools like Apache Spark or similar frameworks
- Understanding of data validation, logging, and error handling
- Ability to monitor, troubleshoot, and enhance ETL/ELT workflows

Cloud & Infrastructure

- Hands-on experience with cloud platforms (AWS, GCP, or Azure)
- Familiarity with containerization (Docker, Kubernetes)
- Experience with CI/CD pipelines (Jenkins, GitLab CI, etc.)

Incident Response & Support

- Production support or SRE experience (triage, escalation, resolution)
- Ability to work within SLOs/SLAs and contribute to operational improvements
- Experience supporting end users and handling break-fix scenarios

Skillset Nice to Have

Experience with infrastructure-as-code (Terraform, Cloud Deployment Manager)
Exposure to ML/analytics-driven systems or forecasting platforms
Experience building or enhancing scalable data services or APIs
Advanced performance tuning and scalability optimization experience
Familiarity with retail, merchandising, or supply chain systems
Experience supporting globally distributed teams across time zones
Knowledge of automated alerting, runbooks, and operational playbooks

Employee Benefits:
At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:

Four options of medical Insurance
Dental and Vision Insurance
401k Contributions
Critical Illness Insurance
Voluntary Permanent Life Insurance
Accident Insurance
Other Employee Perks

About LanceSoft
LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.

About the Company

Lancesoft

We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

COMPANY SIZE

2,000 to 2,499 employees

INDUSTRY

Staffing/Employment Agencies

FOUNDED

2000

WEBSITE

http://www.lancesoft.com/