Maintenance Engineer; Work Location: Elkhart, IN, United States: On site; Job type: Direct hire Industry: Automotive; Engineering

 

Job Title: Maintenance Engineer

• Work Location: Elkhart, IN, Zip code: 46516 United States: On site
• Job type: Direct hire
• Industry: Automotive; Engineering
• Experience level: Mid-senior
• Education level: Bachelor’s degree
• Skills: Maintenance Engineer, Supervisor, Manufacturing, Electrical, Hydraulic, Pneumatic, Plumbing, Machine Troubleshooting, Facilities Machines and Equipment, MS Office
• Experience required: 3 Years
• Relocation assistance: No

Job Description

Our client is the premier manufacturer and supplier of axles, suspension, brakes, doors, venting products, trailer parts, accessories, and towing components serving the commercial trailer, RV, heavy-duty, marine, agriculture, and manufactured housing markets and has an opportunity for a Maintenance Engineer at their manufacturing facility located in Elkhart, IN, United States.

The Maintenance Engineer will lead a team of maintenance technicians and carry out supervisory responsibilities in accordance with the organization\'s policies and applicable laws. Responsibilities include interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems. The position will report to the Director of Operations. The Maintenance Engineer will support plant facilities, the maintenance of existing equipment, designing, and the implementation of new machinery and processes to drive continuous improvement in safety, product quality and process efficiency.

Primary Responsibilities:

• Develop maintenance procedures and ensure implementation.
• Develops, evaluates, and improves manufacturing methods.
• Solid understanding of technical aspects of electrical, hydraulic, pneumatic, plumbing, etc.
• Strong background in machine troubleshooting.
• Analyzes and plans work force utilization, space requirements, and workflow, and designs layout of equipment and workspace for maximum efficiency.
• Design machinery and tooling to ensure efficient production methods.
• Confers with vendors to determine product specifications and arrange for purchase of equipment, materials, or parts, and evaluates products according to specifications and quality standards.
• Confer with management, engineering, and other staff regarding manufacturing capabilities, production schedules, and other considerations to facilitate production processes.
• Estimates production times, staffing requirements, and related costs to assist with management decisions.
• Applies statistical methods to estimate future manufacturing requirements and potential.
• Robotics experience preferred.
• Working knowledge of facilities machines and equipment.
• Exceptional problem solving and decision-making abilities.
• Excellent communication and interpersonal skills.
• Monitor expenses and control the budget for maintenance.
• Manage relationships with contractors and service providers.
• Allocate workload and supervise facilities maintenance.
• Plan and oversee all repair and installation activities.
• Ability to keep track of and report on activity.
• Maintain PM program.
• Assist in CAPEX plan and plant operating budget.
• Willingness to work flexible and extended hours as necessary to support production needs.
• Perform other tasks or duties assigned.
• Knowledge of Maintenance programs/systems a plus
• PLC Programming knowledge a plus

QUALIFICATIONS:

• Supervisory experience.
• Influence, Followership, and Respect.
• Change Resilient.
• Vision & Alignment
• Employee and Team Development.
• Empowerment and Execution.
• Excellent communication skills.
• Team Orientation.
• Building Alignment.
• Prior experience in supervising groups.
• Microsoft Office Suites.
• Knowledge of E-Maintenance program a plus.
• PLC Programming knowledge a plus.

EDUCATION:

• Bachelor’s degree in mechanical engineering – strongly desired

Benefits:

• Full benefits package including Health, Dental, Vision, Life, STD, LTD, FSA, HSA
• 3% profit sharing in our Safe Harbor program
• 401(k) Plan with company contributions
• Opportunities for internal career development in the leadership teams

MUST HAVE:

• Must have Supervisory experience.
• Experience in supervising groups.
• Working knowledge of technical aspects of electrical, hydraulic, pneumatic, plumbing, etc.
• Strong background in machine troubleshooting.
• Working knowledge of facilities machines and equipment.

Interested with this job APPLY HERE

Lead Application Support Engineer; Location: Jersey City, NJ; Zip code: 07310, United States; Job type: Direct hire; Industry: Financial Services; Job function: Information Technology

 

Job Title: Lead Application Support Engineer

• Location: Jersey City, NJ; Zip code: 07310, United States
• Job type: Direct hire
• Industry: Financial Services; Job function: Information Technology
• Experience level: Mid-senior
• Education level: Bachelor’s degree
• Work location: Hybrid; DTCC offers a hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).
• Skills: ITIL Change, ITIL, Incident and Problem management processes, Incident and Problem management, Unix, Linux, Windows, SQL/PLSQL, PLSQL, PL/SQL, SQL, DB2, Oracle, Snowflake, Data Tools, Splunk, DynaTrace, Thousand Eyes, Grafana, Selenium, HiPam IBM Zolda, AWS, S3, EC2, Lambda, SQS, IAM, Azure, OpenShift, RDS Aurora, Postgress, Postgres, Scheduling, CA AutoSys, Control-M, ControlM, Disaster Recovery, Mainframe, COBOL, JCL, DB2 Stored Procedures, CICS, SPUFI, File aid, Fileaid, Job abends, Predecessor, Successor
• Experience required: 6 Years
• Relocation assistance: No

JOB DESCRIPTION:

• Being a member of the Application Support Engineering team you will specialize in maintaining and providing technical support for all applications that are beyond the development stage and are running in the daily operations of the firm.
• Works closely with development teams, infrastructure partners, and internal / external clients to raise and resolve technical support incidents.

RESPONSIBILITIES:

• Experience with using ITIL Change, Incident and Problem management processes.
• Resolve critical production issues by leading Major Incident calls, engaging proper teams, and driving root cause analysis.
• Solve and debug system component(s) to resolve technical issues in complex and highly regulated environments comprised of ground and cloud applications and services.
• Analyze proposed application design(s) and provide feedback on potential gaps or provide recommendations for optimization.
• Hands-on experience with Monitoring and Alerting processes in Distributed, Cloud and Mainframe environments.
• Knowledge and understanding of cyber security standard methodologies and general security concepts like password rotation, access restriction and malware detection.
• Supply in Monthly Service Reviews (MSR) with Development partners to go over KPI metrics.
• Participate in Disaster Recovery / Loss of Region events (planned and unplanned) completing tasks and collecting evidence.
• Collaborate both within the team and across teams to resolve application issues and advance as needed.
• Support audit requests in a timely fashion providing needed documentation and evidence.
• Plan and implement certificate creation/renewals as needed.
• Create, Modify and Monitor Dashboards to better catch potential issues and aide in observability.
• Solid ability to gather and analyze project requirements and translate them into technical specification(s).
• Deep understanding of all lifecycle components (code, test, deploy).
• Good verbal and written communication and social skills, communicating openly with team members and others.
• Verify analysis performed by team members and implement changes required to prevent reoccurrence of incidents.
• Resolve Critical application alerts in a timely fashion including production defects, providing business impact and analysis to teams, handling minor enhancements as needed
• Review and update knowledge articles and runbooks with application development teams to confirm information is up to date.
• Validate and submit responses to requests for information from ongoing audits.
• Review and Complete Disaster Recovery scripts during planned and unplanned outages, providing BCM evidence as needed.
• Identify and implement automation opportunities to reduce manual effort associated with application monitoring.
• Partner with development teams to provide feedback into the design and development stages of applications.

QUALIFICATIONS:

• Minimum of 6 years of related experience.
• Bachelor\'s degree preferred or equivalent experience.
• Mainframe solve and support skills (COBOL, JCL, DB2, DB2 Stored Procedures, CICS, SPUFI, File aid)
• Mainframe scheduling (Job abends, Predecessor/Successor)
• Hands on experience in Unix, Linux, Windows, SQL/PLSQL
• Familiarity working with relational databases (DB2, Oracle, Snowflake)
• Monitoring and Data Tools experience (Splunk, DynaTrace, Thousand Eyes, Grafana, Selenium, HiPam IBM Zolda)
• Cloud Technologies (AWS services (S3, EC2, Lambda, SQS, IAM roles), Azure, OpenShift, RDS Aurora, Postgress)
• Scheduling Tool experience (CA AutoSys, Control-M)

ADDITIONAL QUALIFICATIONS:

• Champions a culture where honesty and visibility are expected.
• Stays ahead of on changes in their own specialist area and seeks out learning opportunities to ensure knowledge is up-to-date.
• Invests effort to individually coach others.
• Builds collaborative teams across the organization.
• Communicates openly keeping everyone across the organization informed.

ABOUT DTCC:

With 50 years of experience, DTCC is the premier post-trade market infrastructure for the global financial services industry. From 20 locations around the world, DTCC, through its subsidiaries, automates, centralizes, and standardizes the processing of financial transactions, mitigating risk, increasing transparency, enhancing performance, and driving efficiency for thousands of broker/dealers, custodian banks and asset managers. Industry owned and governed, the firm innovates purposefully, simplifying the complexities of clearing, settlement, asset servicing, transaction processing, trade reporting and data services across asset classes and bringing increased security, enhanced resilience, and soundness to financial markets. In 2022, DTCC’s subsidiaries processed securities transactions valued at U.S. $2.5 quadrillion and its depository subsidiary provided custody and asset servicing for securities issues from over 150 countries and territories valued at U.S. $72 trillion. DTCC’s Global Trade Repository service, through locally registered, licensed, or approved trade repositories, processes more than 17.5 billion messages annually.

Interested with this job APPLY HERE

TECHNICAL ARCHITECT; Work Location: Onsite Thiruvananthapuram, Kerala, India; Annual salary: US$16 - 30 K/Year; Longterm (Duration)

 

Job Title: TECHNICAL ARCHITECT

• Work Location: Onsite Thiruvananthapuram, Kerala, India
• Annual salary: US$16 - 30 K/Year; Longterm (Duration)

Key Responsibilities

1. Designing technology systems: Plan and design the structure of technology solutions, and work with design and development teams to assist with the process.

2. Communicating: Communicate system requirements to software development teams, and explain plans to developers and designers. They also communicate the value of a solution to stakeholders and clients.

3. Managing Stakeholders: Work with clients and stakeholders to understand their vision for the systems. Should also manage stakeholder expectations.

4. Architectural Oversight: Develop and implement robust architectures for AI/ML and data science solutions, ensuring scalability, security, and performance. Oversee architecture for data-driven web applications and data science projects, providing guidance on best practices in data processing, model deployment, and end-to-end workflows.

5. Problem Solving: Identify and troubleshoot technical problems in existing or new systems. Assist with solving technical problems when they arise.

6. Ensuring Quality: Ensure if systems meet security and quality standards. Monitor systems to ensure they meet both user needs and business goals.

7. Project management: Break down project requirements into manageable pieces of work, and organise the workloads of technical teams.

8. Tool & Framework Expertise: Utilise relevant tools and technologies, including but not limited to LLMs, TensorFlow, PyTorch, Apache Spark, cloud platforms (AWS, Azure, GCP), Web App development frameworks and DevOps practices.

9. Continuous Improvement: Stay current on emerging technologies and methods in AI, ML, data science, and web applications, bringing insights back to the team to foster continuous improvement.

Technical Skills

1. Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn for developing machine learning and deep learning models.

2. Knowledge or experience working with self-hosted or managed LLMs.

3. Knowledge or experience with NLP tools and libraries (e.g., SpaCy, NLTK, Hugging Face Transformers) and familiarity with Computer Vision frameworks like OpenCV and related libraries for image processing and object recognition.

4. Experience or knowledge in back-end frameworks (e.g., Django, Spring Boot, Node.js, Express etc.) and building RESTful and GraphQL APIs.

5. Familiarity with microservices, serverless, and event-driven architectures. Strong understanding of design patterns (e.g., Factory, Singleton, Observer) to ensure code scalability and reusability.

6. Proficiency in modern front-end frameworks such as React, Angular, or Vue.js, with an understanding of responsive design, UX/UI principles, and state management (e.g., Redux)

7. In-depth knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), as well as caching solutions (e.g., Redis, Memcached).

8. Expertise in tools such as Apache Spark, Hadoop, Pandas, and Dask for large-scale data processing.

9. Understanding of data warehouses and ETL tools (e.g., Snowflake, BigQuery, Redshift, Airflow) to manage large datasets.

10. Familiarity with visualisation tools (e.g., Tableau, Power BI, Plotly) for building dashboards and conveying insights.

11. Knowledge of deploying models with TensorFlow Serving, Flask, FastAPI, or cloud-native services (e.g., AWS SageMaker, Google AI Platform).

12. Familiarity with MLOps tools and practices for versioning, monitoring, and scaling models (e.g., MLflow, Kubeflow, TFX).

13. Knowledge or experience in CI/CD, IaC and Cloud Native toolchains.

14. Understanding of security principles, including firewalls, VPC, IAM, and TLS/SSL for secure communication.

15. Knowledge of API Gateway, service mesh (e.g., Istio), and NGINX for API security, rate limiting, and traffic management.

Interested with this job APPLY HERE