Seeking a Java Spring Boot Developer with over 9 years of experience in Java development, API architecture, and cloud solutions. Strong problem-solving skills and ability to work independently required.
Company Description
TECHNAMO is a niche, young & dynamic IT service provider, VA SWaM certified, Microsoft Cloud Certified Partner, focused on providing IT Solutions & Services to government and commercial companies.
Technamo is a Tier-I Contractor to provide IT Services to virginia govt. agencies (70+ entities) and contracted to provide services to state govt. New Jersey, Pennsylvania, Arkansas, Delaware and Maryland govt. agencies.
Job DescriptionExperience : 9+ years
Hands-on development in Java, JEE, Spring MVC and Spring Boot; Cloud solutions and architectures on a public cloud provider; Continuous Integration and automated testing strategies; Implementing API Service architectures (SOAP and REST); Working with RDBMS/NoSQL databases.
- Bachelor’s degree in Computer Science, Information Technology, or a similar field.
- Proven experience as a Java Developer using the Spring Boot framework.
- Familiarity with front-end languages such as HTML, CSS, and JavaScript is a plus.
- Strong understanding of Java and OOP concepts.
- Experience with RESTful APIs, both consuming and developing.
- Knowledge of database technologies such as MySQL, Oracle, or PostgreSQL.
- Understanding of fundamental design principles behind a scalable application.
- Experience with version control systems like Git.
- Ability to write comprehensive unit tests using JUnit or TestNG.
- Knowledge of Docker or Kubernetes is a plus.
- Strong problem-solving skills, good communication skills, and a team player mindset.
- Ability to work independently and with minimal supervision.
- Bachelor’s degree in Computer Science, Information Technology, or a similar field.
- Proven experience as a Java Developer using the Spring Boot framework.
- Familiarity with front-end languages such as HTML, CSS, and JavaScript is a plus.
- Strong understanding of Java and OOP concepts.
- Experience with RESTful APIs, both consuming and developing.
- Knowledge of database technologies such as MySQL, Oracle, or PostgreSQL.
- Understanding of fundamental design principles behind a scalable application.
- Experience with version control systems like Git.
- Ability to write comprehensive unit tests using JUnit or TestNG.
- Knowledge of Docker or Kubernetes is a plus.
- Strong problem-solving skills, good communication skills, and a team player mindset.
- Ability to work independently and with minimal supervision
All your information will be kept confidential according to EEO guidelines.
Similar Jobs
Financial Services
Leads software engineering for JPMorgan Chase’s Identity and Access Management team. Designs, develops, troubleshoots, and delivers secure, scalable Java and Spring Boot applications using microservices, REST APIs, cloud platforms, and relational databases. Creates architecture artifacts, maintains production code, identifies system and data issues, and improves engineering practices. Drives responsible adoption of AI-assisted development tools, establishes validation standards, coaches engineers on secure AI use, and contributes to engineering communities.
Top Skills:
Ai-Assisted Software Development ToolsAmazon Ec2Amazon EksAWSAws IamAws LambdaAws S3AzureBitbucketCi/CdGaiaGCPGitGoJavaJenkinsKubernetesMicroservicesMs Sql ServerNode.jsPythonReactRelational DatabasesRestful ApisSpring BootSpring DataSpring FrameworkSpring Mvc
Financial Services
Leads software engineering and AI/ML delivery for large-scale risk technology systems. Designs complex architectures, develops secure production code, optimizes Spark clusters and data pipelines, and applies Python, PySpark, SQL, AWS, and Databricks. Establishes AI-assisted engineering governance, improves software quality and automation, analyzes large datasets, and leads technologists in delivering resilient, scalable applications.
Top Skills:
Apache AirflowSparkAws CloudwatchAws Ec2Aws EmrAws S3Ci/CdDatabricksJavaLarge Language ModelsMachine LearningNumpyPandasPysparkPythonSpring BootSQL
Fintech • Payments
Build and operate a new full-stack payment and expense management platform from architecture through production. Develop backend services, APIs, data models, web and mobile capabilities, and partner integrations. Establish secure engineering, testing, observability, and production-readiness practices. Collaborate with product, design, security, and distributed engineering teams; review code, resolve complex issues, manage technical risks, mentor engineers, and own technical outcomes through continuous improvement.
Top Skills:
Api GatewaysAWSCi/CdClaudeCloud NetworkingCursorDistributed TracingGithub CopilotGrafanaJavaOpentelemetryPrometheusRest ApisService MeshSpring Boot
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
