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List of responsibilities of this role:

• Writing test cases, executing tests and recording the results;
• Responsible for all aspects of quality assurance manual testing;
• Monitoring and debugging issues in both staging and production environments;
• Manual testing of front-end, API and back-end layers;
• Building and executing detailed test plans from functional requirements;
• Accurate and concise bug reports.
• Conducting defect triage meetings providing details about the defects to the team

Skills and experience:

The ideal candidate will have a Bachelors or Masters degree in Computer Science or Software Engineering with at least 3 years of professional experience in software quality assurance practices.

• Proven work experience in software quality assurance
• 3+ years manual testing large-scale web applications;
• Strong knowledge of software QA methodologies, tools and processes
• Experience in writing clear, concise and comprehensive test plans and test cases
• Hands-on experience with both white box and black box testing
• Good knowledge of SQL and scripting
• Expert with JIRA or similar bug tracking tool;
• Experience testing REST APIs;
• Experience working in an Agile/Scrum development process
• Knowledge on automated testing tools can be added advantage
• Experience with performance and/or security testing is a plus
• Experience building large scale, high-available applications
• Excellent work ethic and strong sense of ownership of end result
• Creative problem solver and innovative thinker
• Ability to work under indirect supervision, technically creative & open minded
• Comfortable with ambiguity and time spent outside of comfort zone acquiring new skills
• Flexible in a fast-paced dynamic environment with shifting roles and responsibilities

Key responsibilities:

• The Delivery Manager will be responsible to ensure consistent, predictable and high-quality service deliveries to customers
• The Delivery manager will work closely with customers to understand their present and upcoming technology solution needs and ensure relevant plans, teams and resources are readied for service deliveries
• The Delivery Manager will take responsibility for a variety of ongoing activities including planning and leading project teams, budgeting and tracking costs, monitoring and reporting progress, identify risks and develop relevant mitigation plans, performance management of the team and enabling business growth through relationship and track record of consistent service deliveries
• The Delivery Manager will also understand and appreciate the business domain of their customers and details of the technologies used to build their solutions

Key Skills:

• Good understanding of IT Services business operations and strong customer service orientation
• Deep experience in Delivery Management including managing delivery teams across multiple geographical locations. Must have handled teams of over 100 people including multi-cultural teams
• Project Management experience including managing Agile projects, Fixed Price projects, Application Development projects, Application Maintenance projects
• Experience in managing delivery of digital solutions including Ecommerce, Content Management, Data Management, AI/ML solutions, Big Data Solutions, Application Modernization programs, Cloud technology based solutions
• Deep experience in atleast 1 or 2 industry domains among Pharmaceuticals, Life Sciences, Healthcare, Banking, Insurance, Retail, CPG, Manufacturing etc.
• Certifications including ‘Certified Scrum Master’, ‘Certified Agile Practitioner’ will be an added advantage
• International work experience including working co-located with customers in North America, Europe, Middle East, India and Australia
• Must have functioned in the roles of a Software Engineer, Business Analyst or Technical Lead earlier in his/her career
• Must have a good understanding and experience in Software Delivery Life cycle details for both Application Development & Maintenance projects
• Experience in managing and delivery any large-scale digital transformation programs will be an added advantage
• Must be experienced and knowledgeable in estimation techniques including Function Point, WBS, Story Point based estimations
• Excellent knowledge of Business and Project financials including Revenues, Costs, Profitability, Utilization etc.
• Excellent listening, interpersonal, written, and oral communication skills
• Excellent analytical, mathematical, and creative problem-solving skills
• Logical and efficient, with keen attention to detail

 

Educational background and Industry experience:

• Bachelors or Masters in Engineering. Post graduation in Business Administration will be an added advantage
• Delivery Manager will have at-least 16 years of experience in the IT Industry including at-least 6 years as a Project Manager and 2 years as a Delivery Manager working in reputed IT Services firms serving global enterprises & delivering multiple successful large scale technology projects

Job Description:

This role of Technical Project Manager acts as an enabler for the effective functioning of digital software development teams using Agile methodologies. The technical project manager brings in appreciation of digital technologies to drive specialized technology-aware execution for projects.

• Develop and execute activities related to end-to-end project management, including project plans and estimates, scoping and requirements through implementation and deployment.
• Utilize knowledge of digital technologies to come up with fit for purpose methodologies for executing digital projects related to customer engagement or process digitization applications.
• Facilitate scrum activities including sprint planning, conducting daily stand-ups, sprint reviews, and retrospectives.
• Proactively monitor, manage and report on execution of deliverables using appropriate metrices ensuring cost, timelines, quality and business value objectives are met
• Work with project stakeholders to arrive at a consistent, single vision of the project, and drive project activities around these common objectives and key results
• Creating and delivering a quality presentation on the topics like project status, application designs as well as business requirements.
• Manage the programs financials Managing risks and issues and taking corrective measurements Frequently created and published status reports and dashboard
• Provide leadership to team to achieve project goals and groom them for their growth and growing contribution towards project

 

Skills Required:

• Expertise in agile processes : Minimum of 2 years experience as a scrum master or project manager handling teams using agile methodology.
• Knowledge of Estimation, planning and reviews.
• Experience in digital technologies with exposure to automation, consumer facing applications, and full stack application development technologies
• Knowledge of digital project activities beyond functional requirements ( like SEO, privacy compliance and go-live activities) is required.
• Technical background (as a senior developer, technical lead or architect) in digital technologies.
• Experience in working with consulting teams and client business stakeholders apart from technical teams
• Experience of working on end to end lifecycle of greenfield applications from consulting to support for digital applications.
• Self motivated – ability to drive team and complete assignments in ambiguous situations
• Hands-on approach.
• Strong comprehension, analytical and problem-solving skills with an ability to take decisions
• Excellent Communication skills (written & verbal)

Responsibilities

• Designing, building, and deploying Business Intelligence solutions
• Connecting to different data sources, importing data, and transforming data for Business intelligence.
• Translation of business requirements into design specifications, Datamodelling etc.
• Working with stakeholders to resolve data/reporting issues through configuration, data cleansing, de-duplication, consolidation and rationalisation of reporting requirements where appropriate.
• Analytical thinking for translating data into informative reports and visuals.
• Working with BI Team to ensure that the BI Reports are tuned for optimal performance.
• Unit testing and troubleshooting
• Developing and executing database queries and conducting analyses
• Responsible for updating existing documentation and creating new documentation when new functionality or reporting is added
• Training and knowledge transfer between the team members

Requirement

The ideal candidate will have a Bachelor’s, Master’s Degree with around 4 to 6 years of professional experience working on building reports and working on datasets. Briefly, he/she should have

• Strong experience in Report development using any of the visualisation tools like Power BI, Tableau, Spotfire, etc
• Substantial experience in Analysing & Interpreting Business Requirements and developing appropriate reports.
• Substantial experience in developing complex BI Reports & dashboards.
• If experience is in Power BI then strong DAX skills.
• Basic knowledge in Python is mandatory.
• Substantial experience in developing complex SQL Queries/Procedures & data manipulation.
• Experience of querying, extracting and modelling data.
• Knowledge in Data Integration, Data Transformation, Data Quality and Data Lineage tools.
• Strong analytical skills, with ability to collect, organise, analyse and disseminate information
• Knowledge of data warehouse fundamentals such as star schemas and dimensional modelling. 
• Good verbal, written and communication skills.

Responsibilities

Work with Navikenz’ clients through all the stages of a project lifecycle including requirements capture, solution definition, system design, technical project management, development/implementation to production deployment/rollout

• Work closely with the consulting teams to help define solutions to the initiatives being pursued
• Manage activities that take place during solution ideation, solution design, and solution implementation
• Review business context for solutions to company challenges. Define the vision and requirements for the solution. Recommend potential options, select the most optimal option, and chart the development roadmap for the selected solution
• Assess/document the systems architecture/landscape/systems currently in place and working with technical staff to recommend solutions to improve it
• Assess the business impact that certain technical choices have
• Assure solutions not only are a fit for the specific purpose but also closely align with the standards guidelines of technology solutions
• Provide detailed specifications for proposed solutions
• Account for possible project challenges on constraints including, risks, time, resources and scope
• Provide updates to stakeholders on product development processes, costs, and budgets
• Resolve technical problems as they arise
• Provide supervision and guidance to development teams

Qualifications/Experience

The ideal candidate will have a Bachelor’s or Master’s degree in Computer Science, Information Technology or Software Engineering, with at least 10 years of professional experience in architecture/design/lead roles and the following:

• Experience in architecting end to end applications including a modern web front end ( e.g. Angular / React) with microservices on server, data layer and integrating to other applications.
• Coding knowledge and experience with several languages: Java/Javascript/Python etc.
• Experience in designing and building microservices using Java, Python or Javascript. Experience in cloud deployment architecture for microservices – including serverless, container based or service mesh based.
• Domain driven design and data model creation experience.
• Experience in integrating with external data and services.
• Experience in creating cloud based architecture – including selecting products and services, and creating the right topology to deliver on non functional requirements including scalability, performance and security. Any cloud platform – AWS, Azure or GCP is fine.
• Strong experience in architecting data layer to handle large volume data. Experience could be either on RDBMS, NOSQL or distributed data platforms like Hadoop. Knowledge of Databricks or Snowflake is a plus.
• Knowledge of analytics and ML products and services like Spark, H2O.ai, AWS Sagemaker is a plus. Candidate must have a strong interest to work on AI solutions. Candidate must be willing to learn and work on full pipeline of AI architecture including data integration, data analytics and creating end user applications that utilize the data and models.
• Knowledge of statistics and maths is a plus. Candidate must be willing to learn statistics, linear algebra and calculus
• Ability to work independently
• Comfortable with ambiguity and time spent outside of comfort zone acquiring new skills
• Flexible in a fast-paced dynamic environment with shifting roles and responsibilities
• Technically creative and open-minded
• Effective interpersonal skills and collaborative management style to include teamwork and team building ability
• Demonstrated ability to communicate the complexities of technical programs
• Proficiency with information technologies in secure environments

Preferred Skills:

2 to 6 Yrs work experience in the Applications Development organization designing and developing applications. You will work closely with customers, product management, QA and support organizations to develop and deliver high quality applications.

Mandatory Skills:

• Strong knowledge of SQL, PL/SQL, data modeling and Relational databases.
• Working knowledge of Javascript, HTML.

Role Description

Responsible for using specialized knowledge of software programming languages, software integration and delivery platforms to build software products and deliver business solutions. Individuals at this job are responsible for development of software applications and interfaces as well as enhancements to existing packaged applications or pre-engineered templates. The job also involves providing support to custom applications, debugging, maintenance and documentation. The primary objective is helping businesses implement technology solutions in a cost-effective way by determining the requirements of a project or program, and communicating them clearly to stakeholders, facilitators and partners.

Role Responsibilities

• Interact with customers and product management regarding application features and functionality.
• Develop new application modules.
• Configure applications for customers.
• Work closely with QA organization to help develop test cases.
• Help with the development of demos of applications.
• check understanding of the Business Requirements Specification (BRS)/User Requirements Specification (URS) with appropriate people
• check understanding of the Software Requirements Specification (SRS) with appropriate people
• check understanding of High Level Design (HLD) with appropriate people
• design basic programming structures to implement functionality in line with requirements defined in BRS/URS, SRS and HLD
• review designs with appropriate people
• analyze inputs from appropriate people to identify, resolve and record design defects and inform future designs
• document designs using standard templates and tools
• comply with organization’s policies, procedures and guidelines when contributing to the design of software products and applications.

Responsibilities

• Work with the Navikenz Data Scientist team to implement the most appropriate techniques for model selection and development for problems to be solved
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organization
• Test AI/ML models to select the most appropriate ones for use on a project
• Work with the team on data sourcing and/or developing data pipeline for the solutions
• Work on the data analysis and exploration work with visualization tools
• Build clear reports that tell compelling stories about the insights learned from data and the proposed actions/strategies/options as a result
• Assist the team on the model to make it scalable, maintainable and production- ready
• Stay up to date with the latest technology, techniques and methods
• Conduct research from which you develop prototypes and proof of concepts
• Manage/maintain the repository of built ML models and monitor for opportunities to use built insights/datasets/code/models for other clients
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work

Qualifications/Experience

• The ideal candidate will have a Bachelor’s, Master’s Degree in Statistics, Mathematics, Computer Science or another quantitative field, with around 4 to 5 years of professional experience working on data sets and building statistical models, and familiar with the following software/tools/techniques:
• Combined knowledge of computer science and applications, modeling, statistics, analytics and maths to solve problems
• Knowledge and experience in statistical, machine learning algorithms and techniques: Regression, Classification, Random Forest, Boosting, Decision Trees, text mining, social network analysis, neural networks, etc.
• Experience with building solutions using Natural Language Processing models
• Experience visualizing/presenting data for stakeholders using: Matplotlib, ggplot, D3, etc.
• Coding knowledge and experience with several languages: Python/R/Julia, Java/Javascript, REST, etc.
• Good to have experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Databricks etc.
• Good to have experience with cloud based platforms/products – AWS, Azure, GCP, Kubeflow, AutoML etc.
• Should have worked with Pharma Industry for the Drug Discovery and/or Pharma Covigilance area

Responsibilities

• Act as a subject matter expert in data engineering and GCP data technologies.
• Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.
• Work with Agile and DevOps techniques and implementation approaches in the delivery.
• Be required to showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.
• Be required to build and deliver Data solutions using GCP products and offerings.

Requirement/Experience

• The ideal candidate will have a Bachelor’s, Master’s Degree in Mathematics or Computer Science with around 6 to 7 years of professional experience working on data sets and building data pipelines. Briefly, he should have
• Master’s degree in Computer Science, or related field.
• Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.).
• Experience in Data Integration, Data Transformation, Data Quality and Data Lineage tools.
• E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
• E2E Solution Design skills – Prototyping, Usability testing and data visualization literacy.
• Experience with SQL and NoSQL modern data stores.
• Understanding of Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python).
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.
• Liaise and be part of our extensive GCP community, contributing in the knowledge exchange learning programme of the platform.
• Ability to lead a team of data engineers to build pipeline for atleast 2 projects

Responsibilities

• Act as a subject matter expert in data engineering and GCP data technologies.
• Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.
• Work with Agile and DevOps techniques and implementation approaches in the delivery.
• Be required to showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.
• Be required to build and deliver Data solutions using GCP products and offerings.

Requirement/Experience

• The ideal candidate will have a Bachelor’s, Master’s Degree in Mathematics or Computer Science with around 3 to 4 years of professional experience working on data sets and building data pipelines. Briefly, he should have
• Master's degree in Computer Science, or related field.
• Hands on and deep experience working with Google Data Products (e.g. BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.).
• Experience in Data Integration, Data Transformation, Data Quality and Data Lineage tools.
• E2E Data Engineering and Lifecycle (including non-functional requirements and operations) management.
• E2E Solution Design skills – Prototyping, Usability testing and data visualization literacy.
• Experience with SQL and NoSQL modern data stores.
• Understanding of Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python).
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
• Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences.
• Liaise and be part of our extensive GCP community, contributing in the knowledge exchange learning programme of the platform.
• 5+ years of relevant experience in Data Engineering using GCP

Responsibilities

• Scale, and maintain the organization infrastructure.
• Build and maintain CI/CD frameworks and tooling.
• Achieve infrastructure repeatability via IaC predominantly using Terraform.
• Support pipelines building and deploying applications to cloud and on-prem environments using Terraform, GitLab, Kubernetes, Argo CD etc.
• Facilitate teams gaining greater autonomy while maintaining alignment and compliance across the business.
• Lead and participate in design discussions around the introduction of new technologies and practices.
• Work as part of an Agile development team to deliver productized services to internal customers.
• Work closely with Security Engineering and Development teams to support Phreesia’s vision of Continuous Integration and Continuous Deployment.
• Use modern development languages such as Python, Javascript, Perl, and C++ to develop tools, scripts, and frameworks that drive efficiency in automation, monitoring, and management of our large-scale environments
• Utilize instrumentation & metrics, and applications to automate and improve operational processes and availability, scaling, and security of the production and development environments
• Build, enhance, and maintain development, management and monitoring systems
• Collaborate with Engineering and Product teams to design and implement solutions to support Operations vision and strategy
• Deploy and maintain product releases and customer configurations
• Engage with industry and vendor partners to drive our requirements and product needs
• Participate in on-call rotation

Qualifications/Experience

• At least 6 years of Hands-on experience with cloud infrastructure – AWS / Azure / GCP – Mandatory
• Strong experience with high level programming languages (Python)
• At least 6 years of experience with enterprise IT infrastructure and connected technologies including Network/Windows Server/Linux Server/Databases/API’s/Security
• Hands on experience in Linux – Mandatory
• Experience with Continuous Integration tools: CI Server, Git, Artifactory, Jenkins, Maven, Docker, NPM
• Ability to build software delivery pipelines with Docker, npm, Java, Pypi etc.. with various DevOps tools such as Git, Binary repositories management, Binary scanning, and Continuous integration
• Good understanding of infrastructure & operations – storage, network, computer, security, cloud (public, on-prem).
• Experience with Continuous Deployment and Delivery tools: Chef, Puppet, Ansible, Kubernetes
• Experience in configuration management and infrastructure automation systems, preferably Ansible/Terraform
• Experience in handling orchestration environment like Kubernetes / Docker
• Practical experience it dealing with complex IT processes and applications
• Experience in case tracking system (e.g. Jira, Zendesk)
• Experience with customer facing with great interpersonal and customer service oriented skill.
• Experience with server side software on-premise and in the cloud
• Experience with Software Architecture design and product development a plus
• Self-learner who’ll seek and find knowledge needed for new concepts/solutions/technologies
• Strong communication skills on a technical and professional level as well as with service oriented
• Ability to organize self and others including effective scheduling, prioritization and time management skills, completing tasks to tight deadlines