11+ HP ALM Jobs in Delhi, NCR and Gurgaon | HP ALM Job openings in Delhi, NCR and Gurgaon

Job Description: 

● At least 4 to 8 years of experience in software quality assurance manual testing 

● Proven record of test strategy and planning, STLC, deployment, defect tracking, and test  harness. 

● High degree of initiative with a passion for learning technology. 

● Must have strong hands-on experience on any programming language PHP, React Native JavaScript, HTML, CSS. 

● Must be competent enough on API testing using Rest Assured and Postman.

● Performance testing experience with relevant automation and monitoring tools (e.g.,  JMeter, load runner). 

● Responsible for coming up with and executing scale tests, performance, and longevity tests.

● Must have testing experience on cloud-based platforms and working knowledge on  integration testing using CI/CD pipelines. 

● Should have working experience with at least one of the MYSQL databases and NoSQL DB viz. 

● Cosmos Db, Cassandra, MongoDB.

● Should have strong fundamental understanding of network topology and the TCP/IP stack  and working knowledge of load balancing methods and deployment architecture

● Experience with GIT Hub, Maven, HP ALM, Jira, Jenkins, code coverage tools and CI/CD
● Exposure of sizing (estimating) the project and defining timelines 

● Good to have knowledge of Platforms like Windows / UNIX / Mainframe.

● Work under the direction of the Game QA Lead to provide test support for two dozen experienced game designers, artists, and engineers. 

● Perform daily smoke tests of game builds, using the build computer and the install scripts.

● Run through and write test plans for existing and new features. Become familiar with the  project design by closely reading project documentation and reaching out regularly to our  team of game developers. 

● Verify that identified bugs are fixed in the database. 

● Identify and bug new issues that occur in the HMD and tablet interface.

● Build on your own fundamental QA skills by learning the specifics of game  development QA for mobile devices, VR headsets, and experimental technology.

● Engage in continuous improvement of the QA process. 

● Maintains quality service by establishing and enforcing organization standards.
● Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of the-art practices; participating in professional societies. 

● Contributes to team effort by accomplishing related results as needed

Integration Lead

Job Description

This role must be capable of building Dot net application and integration capabilities to enable microservice architecture. In addition to being hands on developer, the role requires the individual to leading and work with Dot net developers and integration developers, overseeing the end to end technical working to deliver features. Candidates who like to experiment and learn/discover new technologies, methods, tools with a direction to bring new capabilities to the product will be suitable

Key Responsibilities

• Perform Product Discovery proof of concepts as directed by Product manager
• Design, develop, and maintain both new and existing code, ranging from client-side development using JavaScript, HTML, and CSS, to server-side code using C# and ASP.NET MVC, Web API, Windows services, and ADO.NET for data persistence and retrieval.
• Write readable, extensible, testable code, while being mindful of performance requirements. • Create, maintain, and run unit tests for both new and existing code, with a goal of delivering defect-free and well-tested code to QA.
• Capable of developing restful services using Dot net framework and other integration tools
• Work with management to create and adhere to schedules, while maintaining flexibility to adapt to shifting market demands.
• Translate mockups and wireframes into functioning front-end code.
• Write and maintain documentation for new and existing features.
• Keep up-to-date on best practices and new technologies.
• Rapid prototyping, and presenting conceptual design and working prototypes to management.
• Conduct design and code reviews and collaborate to ensure your own code passes review.
• Work with Product Management to analyze require

Required Skills & Experience

• Experience in Dot Net framework preferably in cloud based platforms/infrastructure
• Experience in integration enablement preferably in REST APIs
• Experience in Database languages and stored procedures, database query optimization
• Experimental knowledge in a broad technical aspects like SSO (SAML2/Oauth2), Security, RPA, Microservices architecture

Qualifications

BE with 6+ years of experience in product development

Title: Data Platform / Database Architect (Postgres + Kafka) — AI‑Ready Data Infrastructure

Location: Noida (Hybrid). Remote within IST±3 considered for exceptional candidates.

Employment: Full‑time

About Us

We are building a high‑throughput, audit‑friendly data platform that powers a SaaS for financial data automation and reconciliation. The stack blends OLTP (Postgres), streaming (Kafka/Debezium), and OLAP (ClickHouse/Snowflake/BigQuery), with hooks for AI use‑cases (vector search, feature store, RAG).

Role Summary

Own the end‑to‑end design and performance of our data platform—from multi‑tenant Postgres schemas to CDC pipelines and analytics stores—while laying the groundwork for AI‑powered product features.

What You’ll Do

• Design multi‑tenant Postgres schemas (partitioning, indexing, normalization, RLS), and define retention/archival strategies.  

• Make Postgres fast and reliable: EXPLAIN/ANALYZE, connection pooling, vacuum/bloat control, query/index tuning, replication.  

• Build event‑streaming/CDC with Kafka/Debezium (topics, partitions, schema registry), and deliver data to ClickHouse/Snowflake/BigQuery.  

• Model analytics layers (star/snowflake), orchestrate jobs (Airflow/Dagster), and implement dbt‑based transformations.  

• Establish observability and SLOs for data: query/queue metrics, tracing, alerting, capacity planning.  

• Implement data security: encryption, masking, tokenization of PII, IAM boundaries; contribute to PCI‑like audit posture.  

• Integrate AI plumbing: vector embeddings (pgvector/Milvus), basic feature‑store patterns (Feast), retrieval pipelines and metadata lineage.  

• Collaborate with backend/ML/product to review designs, coach engineers, write docs/runbooks, and lead migrations.

Must‑Have Qualifications

• 6+ years building high‑scale data platforms with deep PostgreSQL experience (partitioning, advanced indexing, query planning, replication/HA).  

• Hands‑on with Kafka (or equivalent) and Debezium/CDC patterns; schema registry (Avro/Protobuf) and exactly‑once/at‑least‑once tradeoffs.  

• One or more analytics engines at scale: ClickHouse, Snowflake, or BigQuery, plus strong SQL.  

• Python for data tooling (pydantic, SQLAlchemy, or similar); orchestration with Airflow or Dagster; transformations with dbt.  

• Solid cloud experience (AWS/GCP/Azure)—networking, security groups/IAM, secrets management, cost controls.  

• Pragmatic performance engineering mindset; excellent communication and documentation.

Nice‑to‑Have

• Vector/semantic search (pgvector/Milvus/Pinecone), feature store (Feast), or RAG data pipelines.  

• Experience in fintech‑style domains (reconciliation, ledgers, payments) and SOX/PCI‑like controls.  

• Infra‑as‑Code (Terraform), containerized services (Docker/K8s), and observability stacks (Prometheus/Grafana/OpenTelemetry).  

• Exposure to Go/Java for stream processors/consumers.  

• Lakehouse formats (Delta/Iceberg/Hudi).

• Designing, building, and automating the MongoDB Architecture for open-source MongoDB.
  
  
• Good understanding of DB schema design, performance, tuning and capacity planning.
• The ideal candidate has worked with modern open-source MongoDB platforms cloud deployment models and test-driven development in a fast-paced agile environment.
• In depth understanding of data management e g permissions recovery security and monitoring Operational experience with MongoDB.
• Data Modelling Operational experience with Indexes.
• Good understanding of MongoDB replica set Op log and journals.
• Provide advice and support to other development resources interacting with MongoDB.
• Troubleshoot any problems that may come up with the database environments.
• Skilled in performance tuning and optimization using native monitoring and troubleshooting tools.
• Provide guidance in the creation and modification of standards and procedures.
• Experience working with cloud database services a plus.
• Experience working in an Agile Scrum environment.
• Experience working in Aggregation in MongoDB.
• Strong communication documentation skills and technology awareness.

Key Responsibilities 

• Build and create Credflow Product - Do development on our tech Stack 
• Understand requirements from the product manager and sometimes talk to customers to understand the exact requirement and develop insights. 
• Maintain the product and optimize over time for performance
• Identify needs of the stakeholders and work with technology and management team to build future timeline of products and features
• Be the go-to person for all technology related requirements, queries, discussion etc
• Develop a complete analytics framework as the product evolves.

What we seek

• We are looking for someone who is a hustler and is deeply passionate about solving technology-led complex problems
• The person should be able to take ownership of work in a highly challenging and dynamic startup environment

Benefits

• Chance to be with the right team, at the right time
• Work as part of the core team and experience the aspects of growing a business exponentially
• Get a deep understanding of the Fintech domain and unleash your potential to create an impact. 

Qualifications and skills

• Undergraduate/Graduate degree from an engineering college
• Has full stack proficiency, managing large amounts of data and prior exposure to backend, web frontend, mobile apps etc. 
• Full Stack Proficiency on Node.JS, React.JS
• SQL
• In memory data stores like Redis
• Experience in AWS (preferable)

Experience

2-4 years of experience 

Preference

Previous experience in a startup or as an entrepreneur