Role & responsibilities Requirement gathering for Supply Chain Planning including planning business processes, identifying potential areas of improvement and new development, automation of processes, reducing of cycle times and productivity improvement. • Provides architecture guidance on individual system designs; Architect designs and solutions to support the realization of supply chain planning functionalities on Kinaxis Rapid Response. • Design and develop technical specifications with Kinaxis Rapid Response and SAP Planning applications - working on different modules including Supply Planning, Forecasting and Demand Planning, Aggregate Supply Planning, Capacity Planning, Attribute Based Planning, Sales & Operations Planning • Develop and maintain System Architecture models (e.g. System Interaction diagrams) and reference • implementations within systems of record (e.g. Portfolio Management and Enterprise Architecture tools) • Partner with Scrum Master, Product Owner and the team in defining Technical User Stories • Partners with Product Owner to identify and prioritize enabler work • Support Product roles in engaging Kinaxis vendor consultants for system implementation guidance, roadmaps, and features. • Configure the supply chain planning systems to support business requirements and design different seeded resources including worksheets/workbooks, alerts, metrics, scorecards, dashboards, application of different control sets, etc. • Support data integration with multiple sources and target systems. • Work with Kinaxis product vendor to optimize performance and automate processes for sustained value delivery. • Update solution documentation, workflows, and system configurations to ensure comprehensive understanding and facilitate knowledge transfer. • Support Integration Lead, Data and System Architects in the definition of technical data integration requirements and associated Features/User stories.
Role & responsibilities Desired Candidate Profile Front End AngularJS and React.JS Backend (NodeJS) Data Layer (Mongo DB/Postgres/MySQL) Cloud (AWS/Azure/GCP) Programming languagePython.
Key Responsibilities: Source and identify qualified candidates through various channels (LinkedIn, job boards, internal databases, networking, referrals, etc.) Conduct initial screening interviews to evaluate technical skills, experience, and cultural fit Coordinate and schedule interviews with hiring managers and follow up throughout the hiring process Maintain relationships with candidates, ensuring a positive experience from application through onboarding Collaborate closely with Account Managers, Hiring Managers, and Clients to understand job requirements and provide market insights Build a pipeline of candidates for current and future hiring needs Negotiate offers, compensation, and close candidates effectively Ensure all recruitment activities comply with federal and state employment laws (e.g., EEO) Requirements: Bachelor’s degree in Human Resources, Business, or a related field (preferred) 2–4 years of experience in US IT/Technical recruitment (W2 & Corp-to-Corp) Strong knowledge of US hiring practices and work authorizations (H1B, GC, USC, OPT, CPT, etc.) Excellent sourcing skills using LinkedIn Recruiter, Dice, Monster, Indeed, etc. Proven experience working with applicant tracking systems (ATS) and recruitment CRMs Exceptional communication and negotiation skills Ability to multitask and manage time efficiently in a remote or hybrid environment Comfortable working in US time zones Preferred Qualifications: Experience recruiting for Fortune 500 clients or enterprise technology companies Prior experience with VMS tools (Fieldglass, Beeline, etc.) Familiarity with niche technologies (Cloud, DevOps, Data Engineering, Cybersecurity, etc.) Job Type: Full-time Pay: ₹15,000.00 - ₹40,000.00 per month Benefits: Health insurance Schedule: Night shift Supplemental Pay: Commission pay Work Location: In person
Key Responsibilities: Source and identify qualified candidates through various channels (LinkedIn, job boards, internal databases, networking, referrals, etc.) Conduct initial screening interviews to evaluate technical skills, experience, and cultural fit Coordinate and schedule interviews with hiring managers and follow up throughout the hiring process Maintain relationships with candidates, ensuring a positive experience from application through onboarding Collaborate closely with Account Managers, Hiring Managers, and Clients to understand job requirements and provide market insights Build a pipeline of candidates for current and future hiring needs Negotiate offers, compensation, and close candidates effectively Ensure all recruitment activities comply with federal and state employment laws (e.g., EEO) Requirements: Bachelor’s degree in Human Resources, Business, or a related field (preferred) 2-5 years of experience in US IT/Technical recruitment (Corp-to-Corp, W2) Strong knowledge of US hiring practices and work authorizations (H1B, GC, USC, OPT, CPT, etc.) Excellent sourcing skills using LinkedIn Recruiter, Dice, Monster, Indeed, etc. Proven experience working with applicant tracking systems (ATS) and recruitment CRMs Exceptional communication and negotiation skills Ability to multitask and manage time efficiently in a remote or hybrid environment Comfortable working in US time zones Preferred Qualifications: Experience recruiting for Fortune 500 clients or enterprise technology companies Prior experience with VMS tools (Fieldglass, Beeline, etc.) Familiarity with niche technologies (Cloud, DevOps, Data Engineering, Cybersecurity, etc.) Job Type: Full-time Pay: ₹30,000.00 - ₹75,000.00 per month Benefits: Health insurance Schedule: Night shift Work Location: In person
Role & responsibilities Engineering Director role, most critical technical experiences are around scalable system design, modern data architecture, and team enablement. Experience with languages like Java is key for backend systems, while Python remains important for orchestration and analytics workloads. From a tooling standpoint, familiarity with Kubernetes, Terraform, and observability stacks (e.g. DataDog, Grafana) is essential for operational excellence. On the data side, platforms like Snowflake, Databricks, or lakehouses are important for most modern pipelines. A Director should be comfortable working and evolving data architecture decisions around these with recommendations from Architects. Additionally, privacy and security are becoming first-class concerns so experience in basic data access controls, and compliance policies (GDPR, CCPA) is a strong differentiator. Finally, the ability to mentor engineers and guide technical ad tech business strategy across teams including cross-functional stakeholders in data science, customer success, and measurement is an important characteristic in driving long-term success.
Role & responsibilities 8+ years of professional experience , excluding internships and academic projects Strong proficiency in both React.js and Python Experience with MongoDB and DynamoDB In-depth understanding of REST API development and adherence to API best practices Good knowledge of observability , including both UI and API logging , and familiarity with logging best practices Hands-on experience with tools such as CloudWatch , ELK stack , or equivalent Ability to define and build KPIs and dashboards using log data
Required skills: 5 + years of experience in IT Technology. 2+ years of experience in AI / ML with strong working knowledge in neural networks. 2+ years of data engineering experience preferably using AWS Glue, Cribl, SignalFx, OpenTelemetry or AWS Lambda 2+ years of python coding using numpy, vectorization and Tensorflow. 2+ years of experience leading complex enterprise-wide integration programs and efforts as an individual contributor Preferred Skills: Mathematics or physics degree. 2+ years of technical knowledge in cloud technologies such as AWS, Azure, GCP Excellent verbal, written, and interpersonal communication skills Ability to provide strong customer service.
Must Have: 5-8 years as an Engineer, 3+ years as a Manager. Should have led a data application with full stack and backend components 3+ years experience with API development 3+ years experience with Java/Golang backend development Nice to Have 3+ years experience with big data technologies and data lakes/data warehouses
Requirements: Bachelor’s degree in Security Engineering, Computer Engineering, Computer Science, Data Science, or similar technical discipline Familiarity with a broad range of security technologies: SIEM, CASB, SOAR, DLP, and EDR. Technical proficiency with one or more of the major cloud computing environments. Several years of experience with the Python programming language. Excellent software design, problem-solving, and debugging skills. Energetic, passionate about security, and professionally curious about the cybersecurity threat landscape
Must Have · Bachelor’s degree in Security Engineering, Computer Engineering, Computer Science, Data Science, or similar technical discipline · Familiarity with a broad range of security technologies: SIEM, CASB, SOAR, DLP, and EDR. · Technical proficiency with one or more of the major cloud computing environments. · Several years of experience with the Python programming language. · Excellent software design, problem-solving, and debugging skills. · Energetic, passionate about security, and professionally curious about the cybersecurity threat landscape Job Type: Full-time Pay: ₹2,560,609.46 - ₹4,000,000.00 per year Experience: SIEM: 4 years (Required) SOAR: 4 years (Required) Python: 5 years (Required) Security Engineer: 5 years (Required)
Must Have · 5-8 years as an Engineer, 3+ years as a Manager · Should have led a data application with full stack and backend components · 3+ years experience with API development · 3+ years experience with Java/Golang backend development Nice to Have · 3+ years experience with big data technologies and data lakes/data warehouses Job Type: Full-time Pay: ₹4,000,000.00 - ₹5,500,000.00 per year Experience: Java/Golang: 5 years (Required) Lead/Manager: 4 years (Required) Overall: 10 years (Required)
Job Description: Responsibilities : Conduct market research and salary surveys to ensure compensation packages are competitive and aligned with our rewards philosophy. Develop and administer salary structures, job evaluation systems, and pay policies. Manage the annual salary review process for India, including performance-based increases and promotions. Design and administer employee benefits programs, including health insurance, life insurance, retirement plans, and other employee perks. Manage relationships with benefits providers and vendors. Collect and analyse compensation and benefits data to identify trends and make recommendations for improvement. Ensure all compensation and benefits programs are compliant with all applicable Indian labour laws. Work closely with HR Business partners, finance, and other departments to ensure alignment of compensation and benefits programs with business objectives. Qualifications : 10+ years’ experience in compensation and benefits management, preferably in a multinational company in India. Proven experience in designing and administering compensation and benefits programs. Strong understanding of taxation related to employee compensation and benefits. In-depth knowledge of WD and its utilization for compensation and benefits Exceptional communication skills and a proven ability to keep stakeholders informed and included in a way that builds trust. Strong organizational skills and attention to detail. Demonstrated experience performing complex reporting and analysis. Strong analytical, mathematical, statistical, and conceptual skills; Excel/Google Sheets expertise is required. Excellent business and People Operations acumen; comfortable navigating ambiguity and thriving in a rapidly changing, fast-paced environment. Proven ability to think strategically and translate strategic directives into tactical initiatives.
NOTE: This role has a rotational shift (During the Night shift, you can work from home) Working Hours: 10 Job Description: Design and implement automated test frameworks using Python , pytest , Appium , Selenium , and Robot Framework . Develop and maintain test suites for web UI, backend APIs, and system-level validations. Implement functional and automation for 30+ applications that influence vehicle behavior, engineering diagnostics, and OTA delivery. Ensure test coverage across all environments (dev, beta, stage, prod) and manage environment-specific test configurations. Collaborate with developers, DevOps, and product teams to integrate automated tests into CI/CD pipelines. Test planning, execution, and reporting for feature releases and hotfixes. Drive continuous improvement in test coverage, execution speed, and reliability. Tech Stack Languages & Frameworks: Python, pytest, Selenium, Robot Framework, Appium Database: MongoDB CI/CD & DevOps: Jenkins, Gilab, Docker, Kubernetes, AWS Ideal Candidate Strong in QA automation for web applications and microservices Deep experience with Python scripting and Selenium for UI automation Proficiency in Pytest and Robot Framework for backend and API testing Solid understanding of API validation, including status codes and payloads Familiarity with Git, Jenkins, and GitLab Runner for version control and CI/CD A collaborative mindset and a passion for quality, scalability, and continuous improvement
Must Have 6+ years of experience in the fields of software engineering (backend) 3+ years of experience using cloud-based platforms such as GCP, AWS, Azure, or similar technologies 2+ years of hands-on experience in managing and optimizing Big Data ecosystems such as Spark, Hadoop/MR, Kafka Excellent communication and collaboration skills and experience working with a remote, global team. Have a passion for building large-scale distributed systems and are comfortable writing maintainable, extensible, scalable, and high-performance code. Proficient in one or more compiled languages, preferably Java, Scala, and Go. 1+ years of experience in Observability, such as distributed tracing, service level indicator, Service level objective, and service level Agreement. Bachelor&aposs or Master&aposs of Science in Computer Science, Information Systems, or related degree Familiar with OOD and OOA-Track record of leading and delivering large-scale, cross-team, cross-functional projects. Enjoy collaborating on an agile development team and have empathy for teammates and customers. Comfortable evaluating and adapting to the latest tools and technologies. Must Have: Experience designing and implementing standard/common event systems. Experience designing and deploying high-performance systems with reliable monitoring and logging practices. Strong technical knowledge of cloud infrastructure, distributed systems, and reliability practices Experience with a real-time distributed database such as SingleStore (Memory database) Experience with GCP products such as BigTable, BigQuery, Dataproc, PubSub, or other data tools like Spark, Kafka, Hive, or Apache Beam Experience with development tools such as Terraform, Kubernetes, Helm, or Gradle Experience with designing and implementing interfaces and infrastructure for large-scale systems and RESTful APIs Show more Show less
Job Description: 5+ years of experience applying machine learning in production environments, with hands-on experience in NLP and large language models (LLMs). ● Familiarity with frameworks like LangChain or LangGraph for AI orchestration. ● Strong programming skills in Python and solid ML engineering practices. ● Practical experience designing, evaluating, and deploying LLM or generative AI applications to production. ● Strong problem-solving and analytical mindset, comfortable working with product and UX teams. ● Excellent collaboration and communication skills. Bonus points: ● Experience with big data technologies (e.g., Spark, Hadoop, BigQuery, Snowflake). ● Understanding of customer data platforms, ad tech, or audience segmentation. Benefits: ● People. Work with talented, collaborative, and friendly people who love what they do. ● Food. Enjoy catered meals, boundless snacks, and the occasional food truck. ● Fun. We host events such as game nights, happy hours, camping trips, and sports leagues. ● Stock. Every employee is a stakeholder in our future. Health and Saving. Receive the benefits of comprehensive health, dental, vision and disability insurance along with a 401k matching plan.
Position: Full Stack Tech Lead Duration: Full-time Location: Hyderabad (Onsite). Job Description: 8+ years of experience full stack engineering React, TypeScript, Python UI Testing Framework Expertise Nice to Have: Single-spa, MUI, Storybook, webpack
Position: Full Stack Tech Lead Duration: Full-time Location: Hyderabad (Onsite). Job Description: 8+ years of experience full stack engineering React, TypeScript, Python UI Testing Framework Expertise Nice to Have: Single-spa, MUI, Storybook, webpack Show more Show less
Position: Staff Security Engineer Duration: Full-time Location: Hyderabad (Onsite). Job Description: Must-Have Skills: Bachelor’s degree in Security Engineering, Computer Engineering, Computer Science, Data Science, or similar technical discipline Familiarity with a broad range of security technologies: SIEM, CASB, SOAR, DLP, and EDR. Technical proficiency with one or more of the major cloud computing environments. Several years of experience with the Python programming language. Excellent software design, problem-solving, and debugging skills Energetic, passionate about security, and professionally curious about the cyber security threat landscape
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