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