Company Name:    Inovalon, Inc.

Position Title:     Senior Principal Software Engineer / Staff Software Engineer for Multiple Positions
      
Salary:     $222,287-$232,287/year
 
Location:     4321 Collington Road (and Other U.S. Locations), Bowie, MD 20716

Summary of Duties:     Architect, design, create, test, and ensure the quality of large scale or complex software for a major product or product line. Responsible for high level research and analysis related to software design and development. Use best software engineering practices to evolve system design. Participate in design and code reviews with other engineers. Responsible for assigned integration, testing and deployment tasks to manage the server fleet and complex computing systems to drive automation, improvement, and performance. Establish and maintain software configuration control and software development environments including program source control to ensure reliable backups and source code integrity. Design and refactoring through rapid prototyping and experimentation during research and refactor spikes. Write and maintain documentation to describe program development, logic, coding, testing, changes, and corrections. Write high quality, testable code that meets the Definition of Done. Strive to eliminate technical debt. Create automated unit, system and acceptance tests. Support the early and continuous validation of features and stories with Customers, Analysts and Inovalon' s customer facing teams to maximize the market value of the software delivered at each increment. Continuously evaluate software performance, identify performance degradation and opportunities to gain performance improvements valued by customers. Understand domain (Healthcare) and technical trends that will impact/drive the architecture.

Qualifications:     Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Technology Management, Electronics and Communications Engineering, or related field of study, or foreign equivalent plus at least 6 years progressively responsible post-baccalaureate experience job offered or any IT-related roles/job titles. Applicants must have at least 6 years of experience with: (1) Unix management, computing platforms, and technologies involving virtualization, distribution, and high-performance computing; (2) C#, .NET platform, including NET Framework 4.6.1; (3) Angular JavaScript Frameworks; and (4) SOAP & RESTful Web Services; (5) ASP .NET Core 2.x; (6) Kafka; (7) Azure API Gateway; and (8) Pivotal Cloud Foundry (PCF). Telecommuting Available.

This role is not available for sponsorship at this time.

#LI-DNI

Job Title: Senior Full Stack Machine Learning Engineer

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes. We are looking for a talented and experienced Senior Full Stack Machine Learning Engineer to join our dynamic team.

Job Description:

• As a Senior Full Stack Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying machine learning models that drive our healthcare solutions. You will work closely with data scientists, software engineers, and product managers to build scalable and robust machine learning systems. Your expertise will help us transform healthcare data into actionable insights, ultimately improving patient care and operational efficiency.

Key Responsibilities:

• Model Development: Design, implement, and optimize machine learning models for various healthcare applications, including predictive analytics, natural language processing, and generative AI.
• End-to-End Deployment: Develop and maintain the full lifecycle of machine learning solutions, from data preprocessing and model training to deployment and monitoring in production environments.
• Data Engineering: Collaborate with data engineers to build and maintain data pipelines, ensuring the availability of high-quality data for training and inference.
• Software Development: Write clean, efficient, and maintainable code for machine learning applications, ensuring seamless integration with existing systems.
• Performance Optimization: Continuously monitor and improve the performance of machine learning models and systems, addressing issues related to scalability, latency, and accuracy.
• Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into technical solutions.
• Mentorship: Provide guidance and mentorship to junior engineers, fostering a culture of continuous learning and innovation.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. Ph.D. is a plus.
• Experience: Minimum of 5 years of experience in machine learning, with a proven track record of deploying models in production environments.

Technical Skills:

• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in building applications leveraging generative AI technologies which includes LLM’s, prompt engineering, Vector Databases, RAG architectures and transfer learning is a plus.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Strong knowledge of data structures, algorithms, and software engineering best practices.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and data pipeline tools (e.g., Airflow, Kafka).
• Experience with frontend and backend development, including frameworks such as React, Node.js, and Django.

Domain Knowledge: Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to work independently and as part of a team in a fast-paced environment.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on impactful projects that improve healthcare outcomes.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.
• Flexible work arrangements, including hybrid and remote options.

Join us in our mission to transform healthcare through technology! We look forward to hearing from you.

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes.

Role overview

 As an MLOps Engineer, you will design, build, and operate the infrastructure and tooling that power end-to-end ML workflows on AWS, including SageMaker, Bedrock, and Snowflake Cortex. You will partner closely with data scientists, ML engineers, and platform teams to ensure models are reliable, secure, and scalable in production.

Key responsibilities

• Design, implement, and maintain CI/CD pipelines for ML models and data workflows using AWS-native services and infrastructure-as-code.
• Operationalize models built on SageMaker, Bedrock, and Snowflake Cortex, including feature pipelines, training, batch/real-time inference, and monitoring.
• Build and manage data pipelines and feature stores using services such as AWS Glue, Lambda, Step Functions, and Snowflake.
• Implement observability for ML systems (logging, metrics, tracing, drift/quality monitoring) and establish SLOs/SLAs for production ML services.
• Automate environment provisioning, configuration, and dependency management across dev, test, and production.
• Partner with security and compliance teams to ensure ML workloads meet healthcare, privacy, and regulatory standards (e.g., HIPAA).
• Collaborate with ML engineers and data scientists to productionize notebooks and prototypes into robust, maintainable services.
• Contribute to best practices, standards, and documentation for ML platform and operations across the organization.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
• 4+ years of experience in software engineering, data engineering, or ML engineering with at least 2+ years focused on MLOps or ML platform work.
• Strong proficiency with Python and experience integrating ML libraries or frameworks (e.g., scikit-learn, TensorFlow, PyTorch) into production workflows.
• Hands-on expertise with AWS services relevant to MLOps: SageMaker, Bedrock, IAM, CloudWatch, ECR, ECS/EKS or Lambda, S3, Step Functions, and Glue.
• Experience with Snowflake (including Snowflake Cortex), SQL, and building secure, performant data pipelines into and out of Snowflake.
• Proficiency with CI/CD tools (e.g., GitHub Actions, GitLab CI, CodePipeline) and infrastructure-as-code (e.g., Terraform, CloudFormation, CDK).
• Familiarity with containerization and orchestration (Docker, Kubernetes) and event streaming tools (e.g., Kafka) is a plus.
• Knowledge of software engineering best practices, including testing, code reviews, version control, and design for reliability and scalability.
• Experience in regulated domains or with healthcare data standards and regulations is a plus (e.g., HIPAA, FHIR, HL7).

Soft skills and benefits

• Excellent problem-solving and analytical skills with a focus on reliability and automation.
• Strong communication and collaboration abilities, including working cross-functionally with engineering, data science, and product teams.
• Ability to work independently in a fast-paced environment
• Competitive salary and benefits package.
• Opportunity to work on impactful ML platforms that improve healthcare outcomes.
• Collaborative, innovative environment with professional development and growth opportunities.

Overview:  The Director, Software Engineering will guide, coach and mentor managers and teams representing the Software Engineering function for a number of teams, or a small to medium sized product portfolio, towards high performance. This role is primarily focused on the management and development of people and practices and enables self-directed teams to successfully execute their goals within an agile organization in support of corporate vision and strategy.

Duties and Responsibilities:

• Provide excellence in management and leadership for multiple teams to help achieve company objectives.
• Responsible for the overall quality and delivery of multiple projects.
• Identify goals and tracking metrics to ensure objectives are met and recommend process improvements.
• Support organizational capacity through staffing, budget /compensation planning, skills development, and acquisition of required tools and technologies:
• Conduct regular succession planning activities for key roles within the Agile organization;
• Manage and approve staff performance and discipline plans; and
• Help to attract, recruit, retain and develop top engineering talent.
• Embraces all Engineering facets - Engineering, QA & DevOps.
• Works closely across functional teams, striving to deliver a high-quality product to market in an automated fashion.
• Stay focused on customer / market needs.
• Collaborate effectively and routinely share information and best practices across all functions to ensure organizational effectiveness.
• Ensure staff understand and adhere to corporate policies and procedures.
• Handle escalations that cannot be resolved independently by direct reports and may similarly escalate to more senior management as appropriate.
• Assist in delivery of Technology Roadmap while meeting a defined budget.
• May represent company in industry groups and events to create internal and external awareness of functional solutions.
• May represent company in relations with major customers, suppliers, bankers, government agencies and both channel and alliance partners.
• Foster a growth mindset in all employees:
  • Support employees in setting and attaining professional and development goals;
  • Coach and mentor employees on career and personal development, team collaboration and Agile practices; and
  • Support continuous learning.

• Maintain compliance with Inovalon’s policies, procedures and mission statement.
• Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position.
• Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• 12+ years of relevant professional experience including prior software engineering experience (preferred)
• 6+ years of experience in management of an array of team and department sizes.
• Knowledge of the field's concepts, practices and procedures.
• Demonstrate a growth mindset, seeks feedback often.
• Strong ability to motivate others.
• Good coaching and mentoring skills.
• Ability to easily build new relationships.
• Comfortable with constructive conflict.
• Strong verbal and written communication skills.
• Ability to clearly communicate and motivate teams toward a common goal.
• A leader with a demonstrated ability to support self-organizing teams.
• Willingness to take calculated risks.

• Ability to make decisions under pressure, and to own the outcome.

Education:

• Bachelor’s degree in Computer Science, technical field, or equivalent experience.

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions.
• Subject to inside environmental conditions.
• Travel for this position will include up to 25% locally usually for training purposes.

Overview:   The Manager, Software Engineering is responsible for managing a team of engineers and for product releases.

Duties and Responsibilities:

• Manage a global team of engineers following organization defined management processes.
• Leading engineering programs for efficient, high quality new product release and patch releases following defined processes.
• Seek to understand the customer and the purpose the product is serving to achieve customer best results.
• Working as a hands-on contributor at the Sr. Software Engineer level as/when required; handle escalations as needed.
• Works cross functionally with QA and DevOps teams to deliver product to market in an automated fashion.
• Scope of responsibility is typically across one feature set or small product.
• Collaborate effectively with business and technology teams to ensure organizational effectiveness and take advantage of existing solutions and synergies where possible.
• Assist in establishing individual and departmental level goals.  Track and deliver metrics to ensure objectives are met.
• Assist in delivery of Technology Roadmap while meeting defined budget.
• Attract, recruit, retain and develop top talent, and responsible for performance evaluations.

• Foster a growth mindset in all employees:
  • Support employees in setting and attaining professional and development goals;
  • Coach and mentor employees on career and personal development, Agile delivery, and development practices creating a high performing team; and
  • Support continuous learning.

• Maintain compliance with Inovalon’s policies, procedures and mission statement.
• Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position.
• Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• 8+ years’ experience as a Software Engineer.
• 0-2 years of experience as a manager preferred.
• Adepts in at least 1 programing language, deep technical expertise in one vertical technical area, domain expertise at the module level, and expertise in one operating system.
• Proficient in Microsoft Office suite.
• Excellent verbal and written communications skills.
• Excellent time management skills.
• Self-motivated with strong organizational/prioritization skills.
• Ability to multi-task with close attention to detail.

• Proven ability to work effectively under pressure & meet deadlines.

Education:

• Bachelor’s degree in Information Systems, Computer Sciences, engineering or science.

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions.
• Subject to inside environmental conditions.
• Travel for this position is expected to be less than 10%.

Overview:   The Senior Software Development Engineer L4 is expected to successfully work through complex tasks independently, understand the intricacies of the software development life cycle, and display strong adherence to fundamental software engineering principles in the production of software. This position possesses a deep understanding of the computer’s architectural design and other issues like testing and scalability of software products.

Duties and Responsibilities:

• Work collaboratively to write high quality, testable code that meets the “Definition of Done” as it relates to team commitments;
• Utilize a “Test-First” approach to software development, where possible, in which the test is developed before the code; 
• Participate in design and code reviews with other engineers; 
• Create automated unit, system and acceptance tests and participate in test plan reviews; 
• Actively support and contribute to end of iteration demos;  
• Responsible for assigned integration, testing and deployment tasks; 
• Work with product management to scope and estimate product enhancements; 
• Design, implement, unit test software, and test software following defined processes;  
• Fix software defects (internal or customer reported) following defined process; 
• Actively foster continuous team improvement by being accountable for actions and continuously striving to become a better problem solver;
• Contribute to team retrospectives, helping to identify and resolve team impediments; 
• Write and maintain documentation to describe program development, logic, coding, testing, changes, and corrections; 
• Actively participate in the change management process as business and technical scope is adjusted; 
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum 5 years of experience with software development in one or more programming languages, and with data structures/algorithms;
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture;
• Advanced design/debugging/coding skills;
• Builds Secure applications and adheres to security standards;
• Demonstrated high personal integrity and ability to earn trust from others;
• Exhibits a growth mindset, seeks feedback often and is effective in continuous personal and professional development;
• Continuously pursuing self-directed learning activities aimed at developing expertise within technical domain, including reading relevant publications, participating in domain forums or groups etc.;
• Ability to anticipate and look for creative ways to solve problems and apply best practices;
• Communication, organization, and teamwork skills.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology
• Master's degree or PhD in Computer Science, a related technical field, or equivalent practical experience preferred.

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

Overview:   The Staff Software Engineer L5 works with all service aspects of high throughput and multi-tenant services, has the ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability. 

Duties and Responsibilities:

• Design distributed systems that are resilient and secure at scale from inception;
• Raise the engineering bar on scale, resiliency, security fundamentals via technical leadership and engineering excellence;
• Discover, review, and influence new and evolving design, architecture, and standards for building and delivering unique services and solutions;
• Investigate, design, and implement best-in-industry, innovative technologies that will expand Inovalon’s infrastructure through robust, scalable, adrenaline-fueled solutions;
• Champion the enterprise infrastructure vision and strategy;
• Be the expert in service reliability and sustainability;
• Develop and execute designs for complex systems backed by excellence, confidence, and thorough engineering analysis;
• Develop, gather, and leverage metrics to manage the server fleet and complex computing systems to drive automation, improvement, and performance;
• Take ownership of ensuring detailed design, analysis, testing, and optimization;
• Set direction/goals for the team regarding project impact, product quality and engineering efficiency;
• Lead major initiatives, projects, teams, rollouts and phased releases;
• Provide mentorship onboarding new team members and enabling successful ramp up;
• Collaborate with other engineers, services across Inovalon, and external customers to understand requirements, have tight feedback loop that is data driven;
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum 15 years of plus experience with Unix management, complex computing platforms, and/or cutting-edge technologies involving virtualization, distribution, and high performance computing;
• Strives to achieve excellence backed by strong architectural, system design, and automation experience;
• Technology experience required; Hive, Hbase, Sqoop, Ranger, NIFI - Other technologies good to have; Spark, Phoenix, Spring Batch, Accumulo, Falcon, Atlas;
• Experience engineering solutions on one of the major Hadoop distributions - Java scripting and application support experience strongly desired;
• Experience with virtualization technologies required and driven to solve difficult problems with scalable, elegant, and maintainable solutions;
• Expert and creative troubleshooter – unrelenting, persistent, confident;
• A penchant for thinking outside the box to solve complex and interesting problems;
• Extensive knowledge of existing industry standards, technologies, and infrastructure operations;
• Ability to manage stressful situations with calm, courtesy, and confidence;
• Experience building and shipping high quality work and achieving high reliability; and
• Experience improving stability through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.

About Us:

Inovalon is a leading healthcare technology company dedicated to revolutionizing the healthcare industry through innovative AI and machine learning solutions. Our mission is to leverage cutting-edge technology to improve health outcomes and streamline healthcare processes. We are seeking a highly skilled Senior Machine Learning SDET to ensure the quality, reliability, and safety of our ML-powered healthcare products.

Job Description:

As a Senior Machine Learning SDET, you will be responsible for designing, implementing, and maintaining robust testing frameworks and quality strategies for machine learning systems across their entire lifecycle. You will collaborate closely with data scientists, ML engineers, software engineers, and product managers to validate models, data pipelines, and ML-driven services in production environments. Your work will help ensure that our ML solutions are accurate, performant, secure, and compliant with healthcare standards, ultimately improving patient care and operational efficiency.

Key Responsibilities:

• Test Strategy for ML Systems: Define and own the end-to-end test strategy for ML models, data pipelines, and services, including functional, performance, regression, and reliability testing.
• ML Model Validation: Design automated tests to validate model behavior (e.g., accuracy, drift detection, bias, stability, and robustness) across training, staging, and production environments.
• Data Quality & Pipeline Testing: Build automated tests and monitoring for data pipelines to ensure schema integrity, data completeness, data freshness, and correctness for training and inference.
• Test Automation Frameworks: Develop and maintain scalable test automation frameworks and tools for APIs, microservices, and ML workflows, integrating them into CI/CD pipelines.
• Performance & Scalability: Design and execute load and performance tests for ML inference services and batch jobs, focusing on latency, throughput, and resource utilization.
• Monitoring & Observability: Collaborate with ML and platform engineers to implement monitoring, logging, and alerting for ML systems, including model performance and data drift.
• Shift-Left Quality: Embed quality practices early in the ML development lifecycle, including testable model design, test data generation, and automated validation in CI.
• Tooling & Infrastructure: Leverage and extend existing tools (e.g., Python test frameworks, cloud services, containerization, big data tools) to support robust ML testing.
• Collaboration: Work closely with cross-functional teams to understand business and regulatory requirements and translate them into verifiable test scenarios and acceptance criteria.
• Mentorship: Provide guidance and mentorship to engineers on best practices for testing ML and data-intensive systems, fostering a culture of quality and continuous improvement.

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; Ph.D. is a plus.
• Experience: Minimum of 5 years of experience in software test engineering or SDET roles, with at least 3 years focused on testing machine learning, data, or distributed backend systems in production.

Technical Skills:

• Strong proficiency in Python and testing frameworks such as pytest, unittest, or similar, with experience testing ML code and data pipelines.
• Hands-on experience with ML libraries and ecosystems (e.g., TensorFlow, PyTorch, scikit-learn) sufficient to design model validation and testing strategies.
• Hands-on experience with generative AI concepts (LLMs, RAG, vector databases, prompt engineering, and transfer learning) and their testing implications is a strong plus.
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes) for deploying and testing ML services.
• Strong knowledge of data structures, algorithms, and software engineering best practices, including code reviews, version control, and CI/CD.
• Experience building and integrating automated tests for REST/gRPC APIs and microservices, including contract and integration testing.
• Experience with performance and load testing tools and techniques for backend and ML inference services.
• Experience with observability and monitoring tools (e.g., Prometheus, Grafana, ELK, or cloud-native equivalents) for tracking model and system health.

Domain Knowledge:

• Understanding of healthcare data standards (e.g., HL7, FHIR) and regulations (e.g., HIPAA) is a plus.
• Experience testing systems in regulated, high-compliance, or safety-critical environments is highly desirable.

Soft Skills:

• Excellent problem-solving and analytical skills, with a strong focus on edge cases, failure modes, and risk assessment.
• Strong communication and collaboration abilities, with comfort working across ML, data, product, and platform teams.
• Ability to work independently and as part of a team in a fast-paced environment, balancing quality, speed, and pragmatism.

What We Offer:

• Competitive salary and benefits package.
• Opportunity to work on impactful ML-driven healthcare products that improve patient outcomes and operational efficiency.
• Collaborative and innovative work environment.
• Professional development and growth opportunities in ML quality engineering and SDET leadership.
• Flexible work arrangements, including hybrid and remote options.

Join us in ensuring that cutting-edge AI and machine learning solutions are not only powerful but also safe, reliable, and trustworthy in healthcare. We look forward to hearing from you.

Overview:  The Software Development Engineer L3 will lead architecture, design, implementation and deployment of large-scale critical and complex financial applications, owning all aspects of solutions end-to-end, through full stack software development.  This position will solve unique and complex problems at a rapid pace, utilizing the latest technologies to create solutions that are highly scalable.

Duties and Responsibilities:

• Design, develop, test, deploy, maintain, and improve software.
• Manage sole project priorities, deadlines, and deliverables.
• Research, create, and develop software applications to extend and improve on Inovalon’s product offering.
• Own the front-end, back-end, or full stack design and development of product features, building scale, efficiency, and differentiated customer experiences.
• Responsible to design, architect, develop, test, deploy and deliver scalable, multi-tiered software applications, systems, platforms or services using modern languages, design patterns, frameworks and technologies.
• Meet stakeholders, gather and document related information, participate design and other technical reviews, participate in strategic planning to deliver best experience for the users of the software applications, systems, platforms or services.
• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work.
• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
• On Call Policy: Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.

Job Requirements:

• Minimum of 3 years of experience as a Software Developer, Software Engineer or similar role.
• Familiarity with Agile development methodologies.
• Experience with software design and development in a test-driven environment.
• Knowledge of object-oriented coding languages (e.g. C++, Java, JavaScript) and frameworks/systems (e.g. AngularJS, Git).
• Knowledge of functional programming languages.
• Experience with databases and Object-Relational Mapping (ORM) frameworks (e.g. Hibernate).
• Ability to learn new languages and technologies.
• Excellent communication skills Resourcefulness and troubleshooting aptitude.
• Experience with one or more general purpose programming languages (e.g., C#, Objective C, JavaScript, or Go).
• Ability to select and implement an algorithm, use appropriate data structures to solve a problem, interpret algorithms, and contribute ideas to their development.
• Ability to learn other coding languages as needed.
• Strong software development experience delivering at scale solutions, and systems design skills.
• Demonstrated ability delivering within a DevOps delivery model from scoping requirements, requirement analysis, design, development, test, CI/CD, security implementation, and operational excellence with the ability to work cross-functionally with Product Managers, business stakeholders and other tech teams through the actual launch of the project.
• Experience in communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs.

Education:

• Bachelor's degree in computer science, Software Engineering, or Information Technology

Physical Demands and Work Environment:

• Sedentary work (i.e. sitting for long periods of time).
• Exerting up to 10 pounds of force occasionally and/or negligible amount of force.
• Subject to inside environmental conditions.
• Travel for this position will include less than 10% locally usually for training purposes.