We are looking for a highly skilled and motivated Senior DevOps Engineer to join our growing team. This individual will play a critical role in building and maintaining our CI/CD pipelines, cloud infrastructure, and security automation. The ideal candidate brings hands-on expertise in both AWS and GCP environments, infrastructure-as-code with Terraform, and modern container orchestration technologies. Responsibilities: -Design, implement, and manage cloud infrastructure across AWS and GCP using Terraform -Deploy and maintain Kubernetes clusters and manage workloads using Helm/ArgoCD -Build and enhance secure, scalable CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, and ArgoCD -Implement best practices in containerization using Docker, including image hardening and container runtime security -Integrate quality gates in CI/CD including automated testing, code coverage, and SonarQube configuration -Ensure secure CI/CD processes and apply container security standards -Collaborate with development, QA, and security teams to streamline DevSecOps culture -Contribute to system architecture, monitoring, and observability practices -Participate in incident response and root cause analysis Must-Have Skills: -5+ years of experience in DevOps/SRE roles -Proficiency in AWS and Google Cloud Platform (GCP) -Strong hands-on experience with Terraform and Infrastructure as Code (IaC) -Solid experience with Kubernetes, Docker, Helm -CI/CD tools expertise: Jenkins, GitLab CI, GitHub Actions, ArgoCD -Experience with SonarQube and integrating static code analysis into pipelines -Familiarity with secure software development practices, including container and pipeline security -Strong knowledge of scripting in Python, Go, or Bash -Excellent communication and presentation skills, both written and verbal Good to Have: -Industry certifications (AWS/GCP Certified DevOps Engineer or similar) -Understanding of compliance frameworks such as ISO 27001, CIS Benchmarks, and NIST -Experience with monitoring tools (Prometheus, Grafana), and logging (ELK, Loki) Soft Skills: -Strong problem-solving abilities and troubleshooting mindset -Ability to mentor junior engineers and lead technical discussions -Comfortable presenting technical concepts to both technical and non-technical audiences Harmony Benefits: -Gym Membership Benefit in partnership with Pro Ultimate Fitness Gym. -Life Event Policy – INR 10,000 as Token for special occasion like Marriage and Child Birth. -Health Insurance for Self and Dependents (Spouse and Kids) with sum assured INR 5,00,000. -Employee of the quarter Rewards (3-5 employees per month) – INR 3000 Amazon Voucher -Certification & Training Policy – Support & Reimbursement for Certification and Trainings. -Monthly Sports Engagement – Cricket & Football -Team Parties – BI Monthly Team party with Lunch/Dinner -Yearly Department Heads Dinner with Family. -Emergency Medical Leaves in case of Medical emergencies in family. -Festivals Celebrations -Employees Birthday & Anniversary Celebrations Location: Mohali, Punjab Share your CV at careers@harmonydi.com or hr@harmonydi.com Show more Show less
We are looking for a highly skilled and motivated Senior DevOps Engineer to join our growing team. This individual will play a critical role in building and maintaining our CI/CD pipelines, cloud infrastructure, and security automation. The ideal candidate brings hands-on expertise in both AWS and GCP environments, infrastructure-as-code with Terraform, and modern container orchestration technologies. Responsibilities : Design, implement, and manage cloud infrastructure across AWS and GCP using Terraform Deploy and maintain Kubernetes clusters and manage workloads using Helm/ArgoCD Build and enhance secure, scalable CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, and ArgoCD Implement best practices in containerization using Docker, including image hardening and container runtime security Integrate quality gates in CI/CD including automated testing, code coverage, and SonarQube configuration Ensure secure CI/CD processes and apply container security standards Collaborate with development, QA, and security teams to streamline DevSecOps culture Contribute to system architecture, monitoring, and observability practices Participate in incident response and root cause analysis Must-Have Skills : 5+ years of experience in DevOps/SRE roles Proficiency in AWS and Google Cloud Platform (GCP) Strong hands-on experience with Terraform and Infrastructure as Code (IaC) Solid experience with Kubernetes, Docker, Helm CI/CD tools expertise: Jenkins, GitLab CI, GitHub Actions, ArgoCD Experience with SonarQube and integrating static code analysis into pipelines Familiarity with secure software development practices, including container and pipeline security Strong knowledge of scripting in Python, Go, or Bash Excellent communication and presentation skills, both written and verbal Good to Have : Industry certifications (AWS/GCP Certified DevOps Engineer or similar) Understanding of compliance frameworks such as ISO 27001, CIS Benchmarks, and NIST Experience with monitoring tools (Prometheus, Grafana), and logging (ELK, Loki) Soft Skills : Strong problem-solving abilities and troubleshooting mindset Ability to mentor junior engineers and lead technical discussions Comfortable presenting technical concepts to both technical and non-technical audiences Harmony Benefits: -Gym Membership Benefit in partnership with Pro Ultimate Fitness Gym. -Life Event Policy – INR 10,000 as Token for special occasion like Marriage and Child Birth. -Health Insurance for Self and Dependents (Spouse and Kids) with sum assured INR 5,00,000. -Employee of the quarter Rewards (3-5 employees per month) – INR 3000 Amazon Voucher -Certification & Training Policy – Support & Reimbursement for Certification and Trainings. -Monthly Sports Engagement – Cricket & Football -Team Parties – BI Monthly Team party with Lunch/Dinner -Yearly Department Heads Dinner with Family. -Emergency Medical Leaves in case of Medical emergencies in family. -Festivals Celebrations -Employees Birthday & Anniversary Celebrations Location: Mohali, Punjab Share your CV at careers@harmonydi.com or hr@harmonydi.com
As a Machine Learning Engineer/Data Scientist, you will be responsible for developing, coding, and deploying advanced ML models with expertise in computer vision, object detection, object tracking, and NLP. Your primary responsibilities will include designing, testing, and deploying machine learning pipelines, developing computer vision algorithms using tools like Ultralytics YOLO and OpenCV, as well as building and optimizing NLP models for text analysis and sentiment analysis. You will also be utilizing Google Cloud services for model development and deployment, writing clean and efficient code, collaborating with cross-functional teams, and staying updated with the latest advancements in machine learning and AI. You should possess a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field, along with at least 5 years of professional experience in data science and machine learning. Advanced proficiency in Python, TensorFlow, PyTorch, OpenCV, and Ultralytics YOLO is required, as well as hands-on experience in developing computer vision models and NLP solutions. Familiarity with cloud platforms, strong analytical skills, and excellent communication abilities are essential for this role. Preferred skills include experience with MLOps practices, CI/CD pipelines, big data technologies, distributed computing frameworks, contributions to open-source projects, and expertise in model interpretability, monitoring, and performance tuning in production environments. If you are passionate about machine learning, enjoy solving complex business challenges, and have a knack for developing cutting-edge models, this role is perfect for you.,
We’re hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You’ll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans. What will you do: ETL/Data Quality Automation Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions). Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified. Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion. API & Frontend Test Automation Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design. Performance/Load Testing Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines. Automate performance tests in CI and publish trend dashboards. CI/CD & Quality Gates Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs. Test Strategy & Documentation Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. Champion shift-left, code reviews for testability, and “quality as code.” Monitoring & Incident Support Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests. Must-have skills: ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness, and SQL proficiency. Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders). API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing. UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites. Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics. CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies. Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code. Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs. Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry. Nice-to-have Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow). IaC (Terraform), secrets management, feature flags. Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage. Experience with data privacy and compliance test considerations. Experience building synthetic data generators and golden datasets. Tools you might use here: Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact Performance: k6, JMeter, Locust CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL Observability: Prometheus, Grafana, Datadog/New Relic Qualifications: Bachelor’s in CS/IT or equivalent experience. 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing . Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. Excellent communication; comfortable driving quality across engineering, data, and product teams.
We’re hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You’ll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans. What will you do: ETL/Data Quality Automation Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions). Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified. Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion. API & Frontend Test Automation Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design. Performance/Load Testing Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines. Automate performance tests in CI and publish trend dashboards. CI/CD & Quality Gates Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs. Test Strategy & Documentation Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. Champion shift-left, code reviews for testability, and “quality as code.” Monitoring & Incident Support Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests. Must-have skills: ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness, and SQL proficiency. Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders). API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing. UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites. Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics. CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies. Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code. Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs. Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry. Nice-to-have Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow). IaC (Terraform), secrets management, feature flags. Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage. Experience with data privacy and compliance test considerations. Experience building synthetic data generators and golden datasets. Tools you might use here: Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact Performance: k6, JMeter, Locust CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL Observability: Prometheus, Grafana, Datadog/New Relic Qualifications: Bachelor’s in CS/IT or equivalent experience. 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. Excellent communication; comfortable driving quality across engineering, data, and product teams. Location: Mohali, Punjab
We’re hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You’ll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans. What will you do: ETL/Data Quality Automation Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions). Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified. Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion. API & Frontend Test Automation Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design. Performance/Load Testing Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines. Automate performance tests in CI and publish trend dashboards. CI/CD & Quality Gates Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs. Test Strategy & Documentation Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. Champion shift-left, code reviews for testability, and “quality as code.” Monitoring & Incident Support Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests. Must-have skills: ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness, and SQL proficiency. Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders). API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing. UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites. Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics. CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies. Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code. Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs. Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry. Nice-to-have Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow). IaC (Terraform), secrets management, feature flags. Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage. Experience with data privacy and compliance test considerations. Experience building synthetic data generators and golden datasets. Tools you might use here: Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact Performance: k6, JMeter, Locust CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL Observability: Prometheus, Grafana, Datadog/New Relic Qualifications: Bachelor’s in CS/IT or equivalent experience. 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. Excellent communication; comfortable driving quality across engineering, data, and product teams.
We’re hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You’ll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans. What will you do: ETL/Data Quality Automation Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions). Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified. Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion. API & Frontend Test Automation Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design. Performance/Load Testing Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines. Automate performance tests in CI and publish trend dashboards. CI/CD & Quality Gates Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs. Test Strategy & Documentation Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. Champion shift-left, code reviews for testability, and “quality as code.” Monitoring & Incident Support Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests. Must-have skills: ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness, and SQL proficiency. Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders). API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing. UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites. Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics. CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies. Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code. Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs. Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry. Nice-to-have Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow). IaC (Terraform), secrets management, feature flags. Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage. Experience with data privacy and compliance test considerations. Experience building synthetic data generators and golden datasets. Tools you might use here: Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact Performance: k6, JMeter, Locust CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL Observability: Prometheus, Grafana, Datadog/New Relic Qualifications: Bachelor’s in CS/IT or equivalent experience. 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. Excellent communication; comfortable driving quality across engineering, data, and product teams. Location: Mohali, Punjab
As a Senior QA Engineer at our company, you will be responsible for owning test automation across data/ETL pipelines, APIs, and web frontends. Your role will involve designing robust QA strategies, building CI/CD-native test suites, driving performance/load testing, and turning system requirements into executable, measurable test plans. **Key Responsibilities:** - **ETL/Data Quality Automation:** - Design and automate tests for ingestion, transformation, and loading including schema checks, constraints, null/dup checks, reconciliation, and row/column-level validation. - Implement data contract and data lineage test coverage, ensure CDC/merge logic and dedup rules are verified. - Add data checks to orchestration tools like Airflow/Prefect/Cloud Composer and block bad data from promotion. - **API & Frontend Test Automation:** - Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. - Create UI automation for critical user journeys and stabilize flaky tests with good wait/retry design. - **Performance/Load Testing:** - Establish load, stress, soak, and breakpoint tests for APIs and web apps. - Automate performance tests in CI and publish trend dashboards. - **CI/CD & Quality Gates:** - Integrate tests into CI/CD pipelines with quality gates, artifacting, and environment provisioning. - Build disposable test environments using containers and Infrastructure as Code (IaC) and seed synthetic datasets for deterministic runs. - **Test Strategy & Documentation:** - Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. - Champion shift-left, code reviews for testability, and quality as code. - **Monitoring & Incident Support:** - Instrument quality KPIs, collaborate on root-cause analysis, and prevent regressions with guardrail tests. **Qualifications:** - Bachelors in CS/IT or equivalent experience. - 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. - Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. - Excellent communication skills; comfortable driving quality across engineering, data, and product teams. Please note that the company is located in Mohali, Punjab.,
We’re hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You’ll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans. What will you do: ETL/Data Quality Automation Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions). Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified. Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion. API & Frontend Test Automation Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design. Performance/Load Testing Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines. Automate performance tests in CI and publish trend dashboards. CI/CD & Quality Gates Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs. Test Strategy & Documentation Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. Champion shift-left, code reviews for testability, and “quality as code.” Monitoring & Incident Support Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests. Must-have skills: ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness, and SQL proficiency. Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders). API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing. UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites. Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics. CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies. Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code. Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs. Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry. Nice-to-have Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow). IaC (Terraform), secrets management, feature flags. Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage. Experience with data privacy and compliance test considerations. Experience building synthetic data generators and golden datasets. Tools you might use here: Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact Performance: k6, JMeter, Locust CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL Observability: Prometheus, Grafana, Datadog/New Relic Qualifications: Bachelor’s in CS/IT or equivalent experience. 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. Excellent communication; comfortable driving quality across engineering, data, and product teams. Location: Mohali, Punjab
Job Description: As a Senior QA Engineer at our company, you will be responsible for owning test automation across data/ETL pipelines, APIs, and web frontends. Your role will involve designing robust QA strategies, building CI/CD-native test suites, driving performance/load testing, and converting system requirements into executable and measurable test plans. Key Responsibilities: - ETL/Data Quality Automation: - Design and automate tests for ingestion, transformation, and loading including schema checks, constraints, null/dup checks, reconciliation, and row/column-level validation. - Implement data contract and data lineage test coverage, ensuring verification of CDC/merge logic and dedup rules. - Add data checks to orchestration tools like Airflow, Prefect, or Cloud Composer to block bad data from promotion. - API & Frontend Test Automation: - Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. - Create UI automation for critical user journeys and stabilize flaky tests with a good wait/retry design. - Performance/Load Testing: - Establish load, stress, soak, and breakpoint tests for APIs and web apps. - Define SLAs/SLOs and capacity baselines and automate performance tests in CI, publishing trend dashboards. - CI/CD & Quality Gates: - Integrate tests into CI/CD pipelines with quality gates, artifacting, and environment provisioning. - Build disposable test environments using containers and IaC, seeding synthetic datasets for deterministic runs. - Test Strategy & Documentation: - Translate PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. - Advocate for shift-left testing, code reviews for testability, and quality as code. - Monitoring & Incident Support: - Instrument quality KPIs, collaborate on root-cause analysis, and prevent regressions with guardrail tests. Qualifications: - Bachelors in CS/IT or equivalent experience. - 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. - Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. - Excellent communication skills and comfortable driving quality across engineering, data, and product teams. Additional Details: - Location: Mohali, Punjab Company Tools: - Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect - API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact - Performance: k6, JMeter, Locust - CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform - Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL - Observability: Prometheus, Grafana, Datadog/New Relic,
We’re hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You’ll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans. What will you do: ETL/Data Quality Automation Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions). Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified. Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion. API & Frontend Test Automation Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design. Performance/Load Testing Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines. Automate performance tests in CI and publish trend dashboards. CI/CD & Quality Gates Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs. Test Strategy & Documentation Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. Champion shift-left, code reviews for testability, and “quality as code.” Monitoring & Incident Support Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests. Must-have skills: ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness, and SQL proficiency. Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders). API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing. UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites. Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics. CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies. Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code. Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs. Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry. Nice-to-have Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow). IaC (Terraform), secrets management, feature flags. Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage. Experience with data privacy and compliance test considerations. Experience building synthetic data generators and golden datasets. Tools you might use here: Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact Performance: k6, JMeter, Locust CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL Observability: Prometheus, Grafana, Datadog/New Relic Qualifications: Bachelor’s in CS/IT or equivalent experience. 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. Excellent communication; comfortable driving quality across engineering, data, and product teams. Location: Mohali, Punjab
Job Description: You are being hired as a Senior QA Engineer to take ownership of test automation across data/ETL pipelines, APIs, and web frontends. Your role will involve designing robust QA strategies, building CI/CD-native test suites, driving performance/load testing, and translating system requirements into executable, measurable test plans. Key Responsibilities: - ETL/Data Quality Automation: - Design and automate tests for ingestion, transformation, and loading including schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, and business rule assertions. - Implement data contract and data lineage test coverage, ensuring verification of CDC/merge logic and dedup rules. - Add data checks to orchestration tools like Airflow, Prefect, or Cloud Composer to prevent bad data from being promoted. - API & Frontend Test Automation: - Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. - Create UI automation for critical user journeys and stabilize flaky tests with a good wait/retry design. - Performance/Load Testing: - Establish load, stress, soak, and breakpoint tests for APIs and web apps, defining SLAs/SLOs and capacity baselines. - Automate performance tests in CI and publish trend dashboards. - CI/CD & Quality Gates: - Integrate tests into CI/CD pipelines (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. - Build disposable test environments using containers and Infrastructure as Code (IaC) and seed synthetic datasets for deterministic runs. - Test Strategy & Documentation: - Translate PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. - Advocate for shift-left approach, code reviews for testability, and quality as code. - Monitoring & Incident Support: - Instrument quality KPIs, collaborate on root-cause analysis, and prevent regressions with guardrail tests. Qualifications: - Bachelors in Computer Science/Information Technology or equivalent experience. - Minimum of 6 years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. - Proven experience in integrating tests into CI/CD pipelines and scaling suites for speed and reliability. - Excellent communication skills and comfortable driving quality across engineering, data, and product teams. Location: - Mohali, Punjab,
We're hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You'll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans. What will you do: ETL/Data Quality Automation Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions). Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified. Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion. API & Frontend Test Automation Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design. Performance/Load Testing Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines. Automate performance tests in CI and publish trend dashboards. CI/CD & Quality Gates Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs. Test Strategy & Documentation Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. Champion shift-left, code reviews for testability, and quality as code. Monitoring & Incident Support Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests. Must-have skills: ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness, and SQL proficiency. Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders). API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing. UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites. Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics. CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies. Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code. Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs. Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry. Nice-to-have Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow). IaC (Terraform), secrets management, feature flags. Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage. Experience with data privacy and compliance test considerations. Experience building synthetic data generators and golden datasets. Tools you might use here: Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact Performance: k6, JMeter, Locust CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL Observability: Prometheus, Grafana, Datadog/New Relic Qualifications: Bachelor's in CS/IT or equivalent experience. 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. Excellent communication; comfortable driving quality across engineering, data, and product teams. Location: Mohali, Punjab
We’re hiring a Senior QA Engineer who can own test automation across data/ETL pipelines, APIs, and web frontends. You’ll design robust QA strategies, build CI/CD-native test suites, drive performance/load testing, and turn system requirements into executable, measurable test plans. What will you do: ETL/Data Quality Automation Design and automate tests for ingestion, transformation, and loading (schema checks, constraints, null/dup checks, reconciliation, row/column-level validation, business rule assertions). Implement data contract and data lineage test coverage; ensure CDC/merge logic and dedup rules are verified. Add data checks to orchestration (e.g., Airflow/Prefect/Cloud Composer) and block bad data from promotion. API & Frontend Test Automation Build end-to-end, integration, contract, and regression suites for REST/GraphQL services. Create UI automation for critical user journeys; stabilize flaky tests with good wait/retry design. Performance/Load Testing Establish load, stress, soak, and breakpoint tests for APIs and web apps; define SLAs/SLOs and capacity baselines. Automate performance tests in CI and publish trend dashboards. CI/CD & Quality Gates Integrate tests into CI/CD (pre-merge, nightly, release) with quality gates, artifacting, and environment provisioning. Build disposable test environments using containers and IaC; seed synthetic datasets for deterministic runs. Test Strategy & Documentation Turn PRDs/BRDs into detailed test plans, risk matrices, and traceability matrices. Champion shift-left, code reviews for testability, and “quality as code.” Monitoring & Incident Support Instrument quality KPIs; collaborate on root-cause analysis; prevent regressions with guardrail tests. Must-have skills: ETL/Data QA: Strong experience validating data pipelines/warehouses (e.g., BigQuery/Snowflake/Redshift/PostgreSQL), reconciliation at scale, partitioning/windowing awareness, and SQL proficiency. Automation: Hands-on with Python/TypeScript/Java for test frameworks; solid patterns (fixtures, page objects, data builders). API Testing: Postman/Newman, REST Assured, Pact or equivalent for contract testing. UI Testing: Playwright or Cypress (preferred) for stable, parallelizable suites. Performance Testing: k6 / JMeter / Locust; interpreting p95/p99, throughput, saturation; correlation with APM metrics. CI/CD: GitHub Actions / GitLab CI / Jenkins; branching, artifacts, caching, matrix builds; gating policies. Data Testing Frameworks: Great Expectations / Soda Core / dbt tests; schema diffs, expectations as code. Cloud & Containers: Docker; working knowledge of Kubernetes-based ephemeral test envs. Observability: Using Prometheus/Grafana/New Relic/Datadog to tie test results to runtime telemetry. Nice-to-have Orchestrators (Airflow/Prefect), CDC tools (Debezium), ELT (Airbyte/Fivetran), transformation (dbt/Spark/Dataflow). IaC (Terraform), secrets management, feature flags. Security testing exposure (OWASP ZAP, SAST/DAST), basic vuln triage. Experience with data privacy and compliance test considerations. Experience building synthetic data generators and golden datasets. Tools you might use here: Data/ETL: SQL, dbt, Great Expectations/Soda, Airflow/Prefect API/UI: Playwright/Cypress, Postman/Newman, REST Assured, Pact Performance: k6, JMeter, Locust CI/CD: GitHub Actions/GitLab CI/Jenkins, Docker, Terraform Analytics/Stores: BigQuery/Snowflake/Redshift/PostgreSQL Observability: Prometheus, Grafana, Datadog/New Relic Qualifications: Bachelor’s in CS/IT or equivalent experience. 6+ years in QA with at least 3 years in data/ETL test automation and 2+ years in performance testing. Proven experience integrating tests into CI/CD and scaling suites for speed and reliability. Excellent communication; comfortable driving quality across engineering, data, and product teams. Location: Mohali, Punjab
We are looking for a highly skilled and motivated Senior DevOps Engineer to design, build, and operate scalable, secure, and highly available platforms primarily on Google Cloud Platform (GCP) and Amazon Web Services (AWS). You will be responsible for building robust infrastructure using Terraform, implementing modern Kubernetes-based platforms, and driving best practices in CI/CD, security, and observability. The ideal candidate has strong hands-on experience with GCP first (and AWS as secondary), production-grade Kubernetes, Infrastructure as Code, and modern DevSecOps practices. You will collaborate closely with engineering, QA, and security teams to automate delivery, improve reliability, and strengthen the overall security posture of our platforms. Responsibilities: Design, implement, and manage cloud infrastructure across GCP and AWS using Terraform and other Infrastructure-as-Code practices. Deploy and maintain Kubernetes clusters and manage application workloads using Helm and/or ArgoCD. Build and enhance secure, scalable CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, and ArgoCD. Implement best practices in containerization using Docker, including image hardening and container runtime security. Integrate quality gates in CI/CD, including automated testing, code coverage, and SonarQube configuration. Ensure secure CI/CD processes, including secrets management, least-privilege access, and hardened build agents. Implement and maintain cloud security best practices: IAM roles and policies, network segmentation, encryption, and vulnerability management. Collaborate with security teams to embed DevSecOps practices (shift-left security, scanning in pipelines, policy-as-code). Contribute to system architecture, monitoring, and observability using modern tools and practices. Participate in incident response, post-incident reviews, and root cause analysis. Must-Have Skills: 5+ years of experience in DevOps/SRE or related roles. Strong proficiency in Google Cloud Platform (GCP) and solid working experience with AWS. Hands-on experience with Terraform and Infrastructure as Code (IaC). Strong experience with Kubernetes, Docker, and Helm in production. Expertise with CI/CD tools: Jenkins, GitLab CI, GitHub Actions, ArgoCD. Experience with SonarQube and static code analysis integration. Practical cloud security experience (IAM, VPC, firewalls/security groups). Secrets management experience (Secret Manager / Secrets Manager / Vault). Experience with image and dependency scanning. Knowledge of secure software development practices. Strong scripting skills in Python, Go, or Bash. Excellent written and verbal communication skills. Good to Have: Certifications: GCP Professional DevOps Engineer, GCP Architect, AWS DevOps Engineer, etc. Knowledge of compliance frameworks (ISO 27001, CIS Benchmarks, NIST). Experience with monitoring tools (Prometheus, Grafana). Experience with logging stacks (ELK, Loki, etc.). Exposure to policy-as-code and security tools (OPA, scanners). Soft Skills: Strong problem-solving abilities. Ability to mentor junior engineers. Confidence in presenting technical concepts to diverse stakeholders.