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Appdynamics

Appdynamics Developer Jobs

2 jobs found

1mo ago

Sr. Java Developer

Glint Tech Solutions LLC San Leandro, CA

San Leandro, CA

1mo ago Closed

Full time Backend Developer Senior APIs

This position is no longer accepting applications (closed Aug 26, 2026).

Job Description

Glint Tech Solutions LLC is seeking a Sr. Java Developer to join its on-site team in San Leandro, California. The role centers on building scalable Java applications and RESTful APIs, with a focus on designing, developing, and deploying microservices and collaborating with front-end teams to deliver integrated software solutions. This position emphasizes technical excellence, maintainability, and reliable performance within a cross-functional environment.

Responsibilities

Gather and analyze business requirements
Design, develop, and deploy RESTful APIs and microservices
Write clean, tested, and well-documented Java code
Collaborate with front-end teams and external services
Ensure best practices in API development and performance
Troubleshoot and resolve production issues

Requirements

10+ years of Java and web application development
Strong experience with Spring and Spring Boot and microservices
Hands-on with REST APIs, Kafka/MQ, and RDBMS
Cloud exposure (AWS/Azure/PCF)
Experience with Redis, MongoDB, and Cassandra
Familiarity with BDD and monitoring tools (Splunk, AppDynamics, etc.)

Technologies

Java, Spring, Spring Boot, Kafka, MQ, Redis, MongoDB, Cassandra, Splunk, AppDynamics, AWS, Azure, PCF

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1mo ago

J

Lead Software Engineer

JPMorganChase Columbus, OH

Columbus, OH

1mo ago Closed

$152k - $215k/yr Full time Senior Analytics Appdynamics

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Benefits

Location: Columbus, OH onsite.

The role supports a team culture rooted in diversity, inclusion, respect, and opportunity.

Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Responsibilities

Lead the architecture, development, and deployment of scalable platform solutions, applying advanced troubleshooting and innovative approaches to address complex infrastructure and integration challenges.
Develop and maintain secure production code and automation scripts to ensure reliable integration across enterprise platforms and infrastructure.
Promote adoption of enterprise AI assisted engineering practices to improve code quality, speed, and outcomes, while setting validation standards and encouraging reuse of effective patterns across the team.
Leverage the Software Development Life Cycle toolchain, including AI assisted development and automation capabilities, to maximize automation value.
Create comprehensive architecture and design documentation for complex applications, ensuring alignment with constraints and best practices throughout the lifecycle.
Analyze large, diverse data sets to produce actionable visualizations and reporting that drive continuous improvement of software and system performance.
Proactively identify patterns and issues in data to refine coding standards, system architecture, and application resiliency.
Engage with internal software engineering communities of practice, participating in events and initiatives that explore emerging technologies and industry trends.
Foster a collaborative team culture that values diversity, inclusion, respect, and opportunity, mentoring junior engineers.

Requirements

Formal training or certification on software engineering concepts and 5+ years of applied experience in NAMR/APAC regions (India, LATAM, Hong Kong).
Formal training or certification on software engineering concepts and advanced applied experience in EMEA and LATAM Brazil.
In Singapore, follow local country guidance.
Demonstrated experience leading effective use of approved AI assisted software development tools 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.
Advanced proficiency in Python and/or Java, with demonstrated expertise in developing, debugging, and maintaining code using modern programming and database querying languages.
Extensive experience with SQL and NoSQL databases, data lakes, and AWS S3, including design and implementation of scalable data storage architectures.
Proven track record deploying and managing applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3.
Deep familiarity with enterprise logging and monitoring platforms, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog.
Strong experience with Continuous Integration and Continuous Deployment processes, utilizing tools such as Jenkins and Spinnaker to automate and streamline software delivery pipelines.
Comprehensive understanding of the full software development lifecycle, agile methodologies, application resiliency, and security best practices.
Demonstrated expertise in software applications and technical processes within cloud computing, artificial intelligence, machine learning, and mobile technologies.

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