We're looking for a skilled Senior SDET with strong automation skills and a passion for quality. This role focuses on testing cutting-edge integration platforms and AI-powered log management tools. If you're driven by quality, automation, and cross-functional collaboration—this is for you. Key Responsibilities: Lead testing efforts for integration tools and pipelines Develop UI and backend API test automation Collaborate with product and engineering teams on requirements and bug fixes Extend automation frameworks and pipelines Own performance and integration testing initiatives Requirements: 4+ years of experience in Software QA Proficient in Python, Selenium/Playwright, and CI/CD tools Strong understanding of SDLC and agile processes Excellent debugging and problem-solving skills Bonus: Experience with SIEM, Security Analytics, or tools like Locust/JMeter Job Type: Full-time Pay: ₹1,950,000.00 - ₹5,850,000.00 per year Benefits: Health insurance Paid time off Provident Fund Work Location: In person
As a Senior Software Engineer in the Integrations Engineering team, you will focus on building high-performance API integrations and data ingestion workflows across various external technologies. Your contributions will directly impact observability, security, and machine learning solutions. Your responsibilities will include building scalable end-to-end API integrations using Python, developing scripts for event parsing and logging, collaborating with internal and external teams to enhance integration tools and platforms, as well as owning documentation, testing, and quality assurance for integration solutions. We are looking for someone with 4+ years of experience in backend development, 2+ years of experience working with Linux, Docker, Kubernetes, and CI/CD, strong knowledge of Python, APIs, and integration best practices, and a proactive, self-starter mindset with excellent communication skills. Experience with AWS/Azure/GCP, familiarity with test-driven development, and Git-based workflows are considered a plus. This is a full-time position with benefits including health insurance and Provident Fund. The work location is in person.,
You are a skilled Senior SDET with a strong background in automation and a commitment to delivering high-quality work. Your primary focus will be on testing cutting-edge integration platforms and AI-powered log management tools. Your passion for quality, automation, and collaboration across teams will be the driving force behind your success in this role. Your responsibilities will include leading testing efforts for integration tools and pipelines, developing UI and backend API test automation, collaborating closely with product and engineering teams on requirements and bug fixes, extending automation frameworks and pipelines, as well as owning performance and integration testing initiatives. To excel in this position, you should have at least 4 years of experience in Software QA, be proficient in Python, Selenium/Playwright, and CI/CD tools, possess a strong understanding of SDLC and agile processes, and demonstrate excellent debugging and problem-solving skills. Any experience with SIEM, Security Analytics, or tools like Locust/JMeter would be considered a bonus. This is a full-time position with benefits including health insurance, paid time off, and a Provident Fund. The work location for this role is in person.,
We are looking for an accomplished Site Reliability Engineer (SRE) for one of our client, to lead the observability and monitoring strategy for our AI-integrated ASOC platform and its associated products. This role requires a strong foundation in SDLC, agile practices, automated testing , and deep expertise in building reliable, scalable, and data-intensive systems. What You’ll Be Doing Design and implement observability and monitoring systems for data analytics, SIEM, and AI platforms using Prometheus, Grafana, and related tools . Automate operational tasks with Kubernetes, Python, Terraform, and ArgoCD Workflows to enhance deployment speed and reliability. Define and prioritize SLOs, SLIs, and SLAs in collaboration with cross-functional teams. Champion proactive incident management with automated alerts, reducing MTTD and MTTR for Sev1/Sev2 incidents. Conduct postmortems and root cause analyses (RCA) to drive continuous improvement. Ensure secure and gradual deployment practices with strong testing and fail-fast validation. Perform capacity planning and performance tuning to support scalable infrastructure. Foster collaboration across Engineering, Observability, MonOps, and CloudOps teams. Maintain transparent communication about service status, incidents, and resolutions. Advocate for and implement cutting-edge automation, observability, and monitoring technologies . What We Need To See 9+ years of experience in Site Reliability Engineering / DevOps with large-scale, data-intensive systems. Bachelor’s degree in Computer Science, Engineering , or equivalent experience. Expertise in observability & monitoring tools (Prometheus, Grafana, Kubernetes). Strong knowledge of cloud platforms (AWS preferred) . Proven experience in Docker, Kubernetes, Python, Terraform, Ansible, CI/CD pipelines (GitLab CI, ArgoCD) . Solid grasp of SDLC and Agile methodologies with experience defining SLOs, SLIs, and SLAs . Strong automation and scripting skills for incident resolution. Exceptional analytical and problem-solving skills with hands-on debugging of performance bottlenecks and dependency issues in production. Experience with capacity planning and performance monitoring tools (e.g., Locust, Prometheus). Familiarity with secure deployment practices and automated testing frameworks . Self-starter with a “get things done” attitude, able to work independently. (Nice to Have) Background in cybersecurity or data lake platforms . Job Type: Full-time Pay: ₹1,350,000.00 - ₹4,050,000.00 per year Benefits: Food provided Health insurance Life insurance Provident Fund Work Location: In person
Job Summary As a Senior Technical Services Engineer, you will play a key role in implementing, configuring, and supporting advanced data analytics solutions. The position involves working closely with customers, delivering technical services, training, and ensuring seamless deployment of enterprise systems. Key Responsibilities Deliver technology solutions and consulting services for enterprise clients. Support system architecture design, implementation, testing, and customer training. Develop parsers, dashboards, alerts, and other platform content. Collaborate with project teams to achieve customer goals. Participate in solution presentations and identify opportunities for service expansion. Translate business requirements into complex system and application designs. Act as a customer advocate in internal discussions. Travel to customer sites as needed. Requirements Bachelor’s degree in a technical field (or equivalent experience). 3+ years in technical services implementation and/or software engineering. Strong expertise in Regular Expressions and data parsing . Proficiency in Python scripting . Experience with Big Data queries (SPL, SQL, LINQ, etc.). Hands-on experience installing and configuring enterprise technology products. Familiarity with Linux and Windows OS . Knowledge of AWS services (S3, Lambda, CloudTrail, etc.) preferred. Exposure to SIEM solutions (Splunk, Elastic, ArcSight, QRadar) highly desirable. Experience with data visualization tools (Power BI, Tableau) is a plus. Background in cybersecurity, SIEM deployment, or SOC environments preferred. Core Competencies Customer Focus & Advocacy Problem-Solving & Resourcefulness Tech-Savvy & Results Driven Strong Collaboration & Communication Skills Job Type: Full-time Pay: ₹1,950,000.00 - ₹5,850,000.00 per year Benefits: Flexible schedule Health insurance Leave encashment Paid time off Provident Fund Work Location: In person
Job Summary: RACE Consulting is hiring a Backend Engineer for its client. The role involves building data ingestion workflows and integrations for multiple external tools and technologies to enable out-of-the-box data collection, observability, security, and ML insights. You will be responsible for developing solutions that expand product capabilities and integrations with global security and cloud providers. Responsibilities: Develop End-to-End API integrations using Python. Create technical documentation and end-user guides. Develop proprietary scripts for parsing events and logging. Create and maintain unit tests for developed artifacts. Ensure quality, relevance, and timely updates of the integration portfolio. Comply with coding standards, directives, and legal requirements. Collaborate with internal teams and external stakeholders (partners, suppliers, etc.). Detect and solve complex issues in integrations. Work with platform teams to enhance and build next-gen tools. Requirements: Bachelor’s degree in Computer Science or related fields (Engineering, Networking, Mathematics). 1.5+ years of experience coding in Python. 1+ years of experience with Linux, Docker, Kubernetes, CI/CD. Experience using web API development and testing tools (e.g., Postman). Proactive, problem-solving mindset with curiosity to innovate. Strong communication skills to work with teams/customers globally. Desired Skills: Knowledge of programming patterns & test-driven development. Knowledge of web API protocols. Experience with Python Unit Testing. Advanced Python (multiprocessing, multithreading). Hands-on with Git and CI/CD pipelines. Job Type: Full-time Pay: ₹1,950,000.00 - ₹3,900,000.00 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Work Location: In person
Job Summary: RACE Consulting is hiring a skilled DevOps Engineer for one of our esteemed clients. The role involves building, deploying, and managing scalable, efficient systems. The ideal candidate will collaborate closely with development, operations, and security teams to automate workflows, enhance system reliability, and ensure seamless software delivery. Responsibilities CI/CD Pipeline Development: Design, implement, and maintain continuous integration and continuous deployment (CI/CD) pipelines. Automate build, test, and deployment processes to accelerate software delivery. Infrastructure Management: Develop and manage scalable cloud infrastructure using Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible. Ensure high availability and disaster recovery capabilities for critical applications. Monitoring and Performance: Implement and manage monitoring tools (e.g., Prometheus, Grafana, ELK Stack). Analyze system performance and troubleshoot issues to ensure uptime and optimal performance. Collaboration: Work with development teams to integrate DevOps practices into the software development lifecycle. Partner with security teams to implement DevSecOps practices and ensure compliance. Automation and Scripting: Write scripts using Python, Bash, or similar languages to automate repetitive tasks. Enhance system efficiency by minimizing manual intervention. Version Control: Manage version control systems (e.g., Git) and maintain best practices for branching, merging, and release management. Containerization and Orchestration: Develop and manage containerized applications using Docker. Orchestrate workloads using Kubernetes, ECS, or similar platforms. Cloud Services: Work with cloud providers (AWS, Azure, GCP) to optimize infrastructure and services. Configure and manage cloud-native services such as Lambda, RDS, S3, and more. Requirements Bachelor’s Degree in Computer Science or related field, or equivalent experience. 3+ years in DevOps, Systems Engineering, or a related field. Proficiency in scripting and automation (Python, Bash, PowerShell). Expertise with object-oriented programming languages (Java, Scala, Python, Node.js, Gradle). Strong knowledge of CI/CD tools (Jenkins, GitLab pipelines). Hands-on experience with cloud ecosystems, preferably AWS. Proficiency in IaC tools (Terraform, CloudFormation, Ansible). Solid knowledge of version control (Git, Gitflow). Experience in Unix environments. Practical expertise in containers and orchestration (Docker, Kubernetes, Helm). Job Type: Full-time Pay: ₹1,950,000.00 - ₹3,900,000.00 per year Benefits: Flexible schedule Health insurance Paid time off Provident Fund Work Location: In person