QA Engineer

Position Title : Java Full Stack Developer

Location : Noida Sector 125

Experience : 5+ Years

Availability : Immediate

Job Summary :

We are looking for a Java Full Stack Developer with expertise in Microservices architecture to join our team.

The ideal candidate should have hands-on experience in Java, Spring Boot, Hibernate, and front-end technologies like Angular, JavaScript, and Bootstrap. You will work on enterprise-grade applications that enhance patient safety worldwide.

Key Responsibilities :

• Design, develop, and maintain applications based on Microservices architecture.
• Work with Java, Spring Boot, Hibernate, Angular, Kafka, Redis, and Hazelcast to build scalable solutions.
• Utilize AWS, Git, Nginx, Tomcat, Oracle, Jira, Confluence, and Jenkins for development and deployment.
• Collaborate with cross-functional teams to develop enterprise applications.
• Develop intuitive UI/UX components using Bootstrap, jQuery, and JavaScript.
• Ensure applications meet performance, scalability, and security requirements.
• Participate in Agile development while efficiently handling changing priorities.
• Conduct code reviews, debugging, and performance optimization.

Required Skills & Qualifications :

✔ 5+ Years of hands-on experience in Java 7/8, Spring Boot, and Hibernate.

✔ Strong understanding of OOP concepts and Design Patterns.

✔ Experience working with relational databases like Oracle/MySQL.

✔ Proficiency in Bootstrap, JavaScript, jQuery, HTML, and Angular.

✔ Hands-on experience in Microservices-based application development.

✔ Strong problem-solving, debugging, and analytical skills.

✔ Excellent communication and collaboration skills.

✔ Ability to adapt to new technologies and handle multiple priorities.

✔ Experience in developing high-quality web applications.

Good to Have :

➕ Exposure to Kafka, Redis, and Hazelcast.

➕ Experience working with cloud-based solutions (AWS preferred).

➕ Familiarity with DevOps tools like Jenkins, Docker, and Kubernetes.

Why Join Us?

✅ Work on cutting-edge technologies and enterprise-level applications.

✅ Collaborative and innovative work environment.

✅ Competitive salary and career growth opportunities.

Job Summary:

Position: Sr. Executive Talent Acquisition

Experience Level: 4 to 6 Years

Job Location: Ahmedabad - WFO

Roles & Responsibilities:

• Review and Understand Job descriptions and position requirements.
• Source from various job portals like LinkedIn, Naukri, Indeed, and others.
• Identify relevant and suitable candidates and assess their qualifications and experience through carefully reviewing their CV's & profiles and asking appropriate questions to understand their expertise.
• Log all the candidate details in the ATS and respective records.
• Connect, schedule and coordinate interviews, collect feedback, update records and manage the entire communication cycle with the candidate and interviewer & department head.
• Coordinate final offer discussions, explaining HR policies, negotiations and solving all candidate queries.
• Getting offer approvals & making offers to the final selected candidate.
• Do frequent check-ins with the offered candidates to keep them connected till they join the organisation.
• Perform other related duties as and when assigned.

Must Have:

• Hiring and Recruiting skills
• Communication and Employer Branding skills
• IT & Non-IT Recruitment expertise
• Experience in talent acquisition and human resources
• Proven track record in successful recruitment strategies
• Knowledge of the IT industry and current market trends
• Excellent interpersonal and negotiation skills
• MBA in Human Resources is preferred

Desired Competencies (Technical/Behavioral Competency)

Must-Have

Snowflake, DBT , PL/SQL , Azure/AWS Overall Knowledge , Knowledge on DB Modelling , Knowledge on Data Warehouse concepts , Well versed with Agile Delivery, ETL Tools – Informatica/ADF

Good-to-Have

Azure 900/104/204 Certified, Informatica/SSIS/ADF

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Responsibility of / Expectations from the Role

1

Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.

2

Profound experience in designing and developing data integration solutions using ETL tools such as DBT.

3

        Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory

4

Solid MS SQL Server skills including reporting experience.

5

Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.

6

Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.

7

Ensuring root cause resolution to identified problems.

8

Monitor and support the Data Solutions jobs and processes to meet the daily SLA.

9

Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.

10

Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.

11

Follow best practices and standards around data governance, security and privacy.

12

Comfortable working in a fast-paced team environment coordinating multiple projects.

13

Effective software development life cycle management skills and experience with GitHub

14

Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.

15

Data transformation and Data Analytics Documentation

Job Title: Lead I – Python Full Stack Engineer (Python + React)

Location: Hyderabad

Work Model: Hybrid (3 days in office)

Notice Period: 0–15 Days (Immediate joiners preferred)

Job Summary:

We are looking for a Lead Python Full Stack Engineer with 6–7 years of development experience to join our engineering team in Hyderabad. The ideal candidate will have strong hands-on expertise in React UI and Python backend development, with solid experience in modern testing frameworks, CI/CD, and database management.

Key Responsibilities:

• Design, develop, and maintain full-stack applications using React (frontend) and Python (backend).
• Implement reusable UI components and ensure a seamless user experience with React.
• Build and manage backend services using frameworks such as Django, Flask, or FastAPI.
• Develop and maintain unit and end-to-end tests using frameworks like Jest, Mocha, and Cypress.
• Manage state using libraries such as Redux, Zustand, or MobX.
• Configure and maintain CI/CD pipelines for efficient deployment.
• Integrate with relational and non-relational databases such as PostgreSQL, MySQL, or MongoDB.
• Collaborate with cross-functional teams to deliver scalable, maintainable solutions.

Required Skills & Experience:

• 6–7 years of full-stack development experience.
• Strong hands-on expertise in React UI (top priority).
• Proficiency in Python with frameworks like Django, Flask, or FastAPI.
• Expertise in unit testing (Jest, Mocha) and E2E testing (Cypress).
• Experience with Vite or similar build tools.
• Strong understanding of CI/CD pipelines.
• Experience with RESTful APIs, web services, and routing (React Router).
• Solid understanding of PostgreSQL/MySQL/MongoDB databases.
• Strong problem-solving and debugging skills.

Nice to Have:

• Familiarity with Node.js or Express.js for backend development.
• Exposure to front-end technologies such as HTML, CSS, and JavaScript (ES6+).

We’re looking for a Digital Marketing Expert with 1 year of experience to join our growing team. You’ll be responsible for planning, executing, and optimizing marketing campaigns across various digital platforms.

Sprinto is a leading platform that automates information security compliance. By raising the bar on information security, Sprinto ensures compliance, healthy operational practices, and the ability for businesses to grow and scale with unwavering confidence. We are a team of 200+ employees & helping 1000+ Customers across 75+ Countries. We are funded by top investment partners Accel, ELEVATION & Blume Ventures and have raised 32 Million USD in funding including our latest Series B round

The Role

As a Senior Full Stack Engineer at Sprinto, you will play a pivotal role in our dynamic and collaborative team. You are not just a coder; you are a problem solver and a versatile programmer who thrives in a cross-functional environment. The role requires hands-on experience and a willingness to contribute across various aspects of the development process.

Responsibilities

• Utilize your extensive programming experience, with a minimum of four years in a professional setting, preferably within a small team.
• Demonstrate flexibility by not adhering strictly to a specific programming language, editor, or libraries. Embrace a holistic approach to software development by seamlessly transitioning between frontend, backend, and infrastructure tasks.
• Be the go-to person for technical guidance and architectural decisions within the team. Assume a leadership role when systems face challenges and contribute to effective problem resolution.
• Apply a discerning eye to identify and address premature over-engineering, ensuring projects progress efficiently. Recognize the long-term consequences of programming choices and navigate trade-offs to optimize solutions.
• Understand that code serves the business/customer problem it aims to solve. Thrive in making informed trade-offs that efficiently address these problems.

Requirements

• A minimum of five years of professional programming experience, preferably within a small team environment.
• Ability to work across boundaries, be it frontend, backend, or infrastructure. Avoid pigeon-holing and embrace a holistic approach to software engineering.
• Recognition by peers for technical expertise and leadership in making architectural decisions. Being the go-to person in challenging situations within your current team.
• Ability to identify premature over-engineering and foresee long-term consequences of programming choices. Make informed decisions to optimize project timelines and outcomes.
• Understanding that code is a tool in the service of solving business/customer problems. A willingness to make trade-offs that efficiently address these issues.
• While not mandatory, familiarity with our tech stack (nodejs, nextjs, react, relay, apollo-graphql, postgres, heroku) is a bonus. Share your insights on the pros and cons of our tech stack in your application.

Benefits

• Remote First Policy
• 5 Days Working With FLEXI Hours
• Group Medical Insurance (Parents, Spouse, Children)
• Group Accident Cover
• Company Sponsored Device
• Education Reimbursement Policy

We are looking for a Technical Lead - Java to join our awesome team and deliver a streamlined user experience. We want a team member who is well versed and comfortable spanning the full development lifecycle, from requirements identification and prototyping, through design and implementation. We want a team member who Leads projects and teams. Participates in and supports initiatives outside of the main area of responsibility.

Engineering and Delivery

• Responsible for the quality and quantity of the engineering output.
• Responsible for the continuous, iterative improvement of our engineering team.
• Responsible for the overall planning, execution, and success of complex technical projects.
• Work closely with the client & product management team to ensure we are building the best products & team is aligned to product goals.
• When necessary, act as Programmer, QA, Architect, PM, etc for short periods of time.

Managing and Directing

• Talk to engineers to tease out concerns early, then fix them when possible.
• Resolve conflicts or performance problems with engineers.
• Embody the engineering culture and contribute to its advancement, inspiring everyone to live up to it.
• Maintainer and contributor to our company engineering internal and public artifacts such as our quality standards and guidelines.
• Represent the engineering with other departments and ensure we provide engineering support wherever necessary in the company.
• Support team happiness. :)

Hiring and Training

• Attract, nurture, coach, and retain talent.
• Ensure every assigned engineer has a career progression plan with regular check-in points and real-time feedback.
• Ensure engineers are provided with continuous and valuable learning opportunities.
• Contribute to determining engineering salary ranges and adjustments.
• Contribute to defining and building the vision for our engineering organization.
• Contribute to defining quality standards for our work.
• Contribute to creating training and learning material and opportunities for engineers.

Strategy and Consulting

• Run and/or participate in project kick-offs.
• Work with your team to select and design the software architecture, tools, and platforms used to deliver client projects.
• Define quality standards for client projects.

• BSc/BE/BTech in Computer Science, Engineering or a related field
• 4+ years Experience working with JAVA technology
• Knowledge of Spring boot, Spring MVC frameworks
• Knowledge of React and other JavaScript frameworks
• Good knowledge of operating systems and networking concepts
• Aggressive problem diagnosis and creative problem solving skills
• Startup mentality, high willingness to learn, and hardworking
• Critical thinker and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills
• Good to have - Experience with Google Maps API
• Good to have - Familiar with testing frameworks (Ex. Jasmine)

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.