Production Monitoring Jobs in Bengaluru

Gen AI Support Engineer-2 Location: Bengaluru Experience: 4 7+ years Employment Type: Full-time About Us Exotel is the leading full-stack customer engagement platform and virtual telecom operator for emerging markets. Since its inception in 2011, Exotel has been powering 50 million daily engagements across voice, video, and messaging channels. We provide our unified customer engagement solutions to over 6000 companies globally, including industry leaders like Ola, Swiggy, Flipkart, GoJek, Byjus, Urban Company, HDFC Bank, Zomato, and Oyo. With $100 million in Series D funding and an ARR of $60 million, Exotel is a growth-stage company poised for massive impact. Overview We're seeking a Gen AI Support Engineer-2 to join our team. As an L2 Support Engineer, you will be the highest level of technical escalation within the support organization. Your role will encompass system reliability, platform integrity, troubleshooting mission-critical production issues, and collaborating with engineering teams for architecture feedback. Additionally, you'll help mentor junior engineers and improve operational processes and tools for large-scale environments. If you're passionate about writing clean code with Python and Django and want to contribute to a fast-paced, mission-driven company, this role is for you! Responsibilities Mission-Critical Issue Resolution: Own the resolution of high-priority, time-sensitive production issues. Root Cause Analysis (RCA): Lead RCA reviews and push for systemic improvements in system architecture and processes. Performance Optimization: Identify bottlenecks and propose architectural changes to improve system performance and scalability. Patch Management: Assist in configuring, deploying, and testing patches, releases, and application updates to production environments. SME for Production Systems: Serve as the Subject Matter Expert (SME) for Exotel's production systems and integrations. Cross-Team Collaboration: Work with Delivery, Product, and Engineering teams to influence system design, rollout strategies, and improvement plans. Mentorship: Lead and mentor L1/L2 engineers on troubleshooting best practices and continuous learning. Code Writing & Automation: Write clean, maintainable code for internal tools, scripts, and automation using Python and Django. Support Tooling: Automate recovery workflows and design support tools for proactive monitoring. Operational Excellence: Establish and improve SLAs, monitoring dashboards, alerting systems, and operational runbooks to ensure system reliability. Must Have Skills Backend Development Support: 3+ years of experience in backend development support, production support, or DevOps/SRE roles. Core Technologies: Proficiency in Python, Django, SQL, and troubleshooting in Linux. Web Technologies: Strong understanding of HTML, CSS, JavaScript, and other web technologies. Distributed Systems & Cloud: Experience working with distributed systems, cloud architecture (AWS), Docker, and Kubernetes. Automation: Strong scripting skills with Bash/Python for automation and operational support. CI/CD & Observability: Good understanding of CI/CD, observability tools, and release management workflows. Communication Skills: Excellent communication, leadership, and incident command skills for managing production issues and cross-functional collaboration. Nice to Have Experience with AI-powered systems and machine learning technologies. Familiarity with monitoring systems like Prometheus, Grafana, or Elasticsearch. Knowledge of microservices architectures and scaling distributed systems. Innovative Work: Be at the forefront of cloud-based communications technology and AI-driven customer engagement platforms. Impact: Play a key role in maintaining and optimizing systems that power millions of customer interactions daily. Growth Opportunities: Be part of a fast-growing company with ample learning opportunities and career development. Collaborative Environment: Work in a supportive, inclusive environment where your input and ideas matter. Competitive Benefits: Comprehensive benefits package including health insurance, mental wellness support, and more.

Lead Fullstack Engineer Location: Bangalore Company: Capital One India About Capital One India At Capital One India, we thrive in a fast-paced, intellectually rigorous environment where we solve real-world business problems at scale. By combining advanced analytics, data science, and machine learning, we unlock powerful insights and build cutting-edge, patentable technology products that drive innovation and impact. Team Overview: Machine Learning Experiences (MLX) The MLX team is at the core of Capital One s AI/ML transformation. We re shaping the way the enterprise builds, deploys, and monitors ML models and features providing the tools and platforms that enable every business line to deliver AI-powered experiences. From platform onboarding to observability, MLX sets the foundation for responsible, scalable machine learning across Capital One. Role Overview We are seeking a Lead Fullstack Engineer to architect and develop scalable, cloud-native applications that power our ML platforms. You ll be responsible for leading technical initiatives, mentoring team members, and driving the development of full-stack systems with a primary focus on Python and Go, and a working proficiency in React. This is a hands-on leadership role requiring deep cloud expertise (AWS), backend scalability know-how, and familiarity with ML observability concepts. What You ll Do Lead cross-functional teams on full-stack development projects that support machine learning platforms and observability tools. Design and develop robust applications using Python, Go, and React, adhering to scalable and maintainable coding principles. Architect cloud-native solutions on AWS, leveraging services such as Lambda, ECS, S3, DynamoDB, SQS, and IAM. Implement and optimize CI/CD pipelines, containerization with Docker/Kubernetes, and other DevOps best practices. Work closely with ML engineers and data scientists to enhance observability and monitoring for ML models in production. Utilize open-source frameworks to accelerate development and maintain system performance. Collaborate with product managers to deliver user-centric, cloud-based solutions that drive real customer impact. Conduct code reviews, mentor engineers, and maintain high technical standards across the team. Contribute to backend optimization, API development, and integration with real-time data systems. Required Qualifications 7 10 years of experience in software development, with a strong background in backend and full-stack systems. Expertise in Python and Go; strong ability to build scalable, maintainable systems. Proficiency in React for frontend development (medium level). Hands-on experience with AWS services such as Lambda, ECS, S3, DynamoDB, IAM, and SQS. Experience with ML observability frameworks and tools. Knowledge of open-source development frameworks and cloud architecture patterns. Proficiency in CI/CD, containerization (Docker, Kubernetes), and modern DevOps practices. Strong problem-solving abilities and a track record of leading technical initiatives in agile environments. Preferred Qualifications Experience monitoring ML models in production and integrating observability tools. Knowledge of event-driven architecture and microservices. Familiarity with GraphQL, WebSockets, and real-time data communication. Understanding of data streaming architectures and processing pipelines. Why Join Capital One Be part of a team building enterprise-scale platforms that power ML for millions of customers. Work on impactful, cloud-native solutions in a collaborative and high-growth environment. Collaborate with world-class engineers, data scientists, and product leaders. Enjoy a culture that values experimentation, learning, and technical excellence.

Job Title: Lead Associate Software Engineering (COBOL) Location: Bengaluru Employment Type: Full-Time Level: Senior Engineer About BetaNXT BetaNXT is building the future of connected wealth management infrastructure, combining real-time data capabilities with deep industry expertise to elevate the advisor and investor experience. Through the power of our trusted platforms Beta, Maxit, and Mediant we are modernizing legacy systems and solving the most complex integration challenges in wealth management. Our mission: streamline operations, enhance productivity, and unlock enterprise scalability for financial institutions. About the Role We are looking for a Lead Associate Software Engineering with strong experience in MicroFocus and Veryant COBOL to join our product engineering team. In this hands-on leadership role, you ll design, build, and modernize high-performance systems that support critical financial workflows in both client/server and cloud environments. This is an excellent opportunity for someone who thrives in legacy modernization, enjoys solving complex integration problems, and is passionate about writing clean, secure, and scalable code. Key Responsibilities Design and develop new features for enterprise systems using MicroFocus/Veryant COBOL. Refactor and modernize legacy code for scalability, performance, and maintainability. Architect solutions for new and existing applications in client/server and cloud-hosted environments. Perform code reviews, ensure secure coding practices, and guide team members on design and implementation. Collaborate with cross-functional Agile teams (Product, QA, DevOps) to deliver end-to-end technical solutions. Write clean, modular, and well-documented code; enforce coding standards across the team. Translate user requirements into effective software design. Ensure high code quality and application performance through best practices and testing. Monitor production systems, support deployments, and troubleshoot full-stack issues. Document system architecture, APIs, and technical specifications. Required Qualifications Bachelor s or Master s degree in Computer Science, Software Engineering, or related field. 3 5 years of hands-on experience in software development, with recent focus on COBOL-based systems. Experience with MicroFocus/Veryant COBOL and ISAM file systems. Hands-on knowledge of GitLab for source control, CI/CD pipelines, and version management. Proven experience leading Agile development teams and mentoring junior engineers. Solid understanding of the software development life cycle (SDLC) and Agile methodologies. Strong problem-solving skills and the ability to work independently as well as in a team environment. Demonstrated success in delivering complex projects from design through deployment. Preferred Qualifications Experience with: XML, VS Code IDE PowerShell or other scripting languages Exposure to application performance tuning, monitoring tools, and system health diagnostics. Knowledge of financial services or experience working with mission-critical enterprise platforms. Personal Attributes Self-starter with a growth mindset and eagerness to learn new technologies. Comfortable working across legacy systems and modern cloud-based solutions. Strong attention to detail and commitment to quality. Thrives in fast-paced, collaborative environments. Passion for solving large-scale technical challenges. Be part of an organization modernizing wealth management infrastructure at scale. Work on mission-critical systems used by top-tier financial institutions. Collaborate with a high-performing, globally distributed engineering team. Grow your career in an environment that values innovation, autonomy, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Software Engineering, or related field

Position: DevOps Engineer-2 Location: Bengaluru Employment Type: Full-Time Department: Engineering Job Description: We are looking for a skilled DevOps Engineer-2 to design, implement, and maintain secure, scalable, and highly available infrastructure. You will play a key role in automating infrastructure provisioning, capacity planning, and building robust monitoring and CI/CD pipelines. Responsibilities: Design and implement secure, scalable infrastructure solutions. Automate infrastructure provisioning, demand forecasting, and capacity planning. Develop automation tools and frameworks to enhance system observability, availability, reliability, performance, and latency monitoring. Monitor system health, application performance, security controls, and cost optimization. Participate in sustainable incident response, peer reviews, and blameless postmortems. Lead the adoption and rollout of best DevOps tools and automation practices across services. Build and maintain continuous integration and continuous deployment (CI/CD) pipelines. Required Skills and Experience: Minimum 3 years of experience in DevOps and cloud technologies. Expertise in at least one major cloud platform: AWS, Azure, or GCP. Strong production experience with Kubernetes, including deployment, management, and troubleshooting. Proven ability to design scalable and resilient infrastructure architectures. Proficiency with infrastructure-as-code tools such as Terraform, Pulumi, or CloudFormation. Strong debugging and troubleshooting skills. Deep knowledge of Linux servers and networking fundamentals. Hands-on experience with scripting or programming languages like Python, Shell, Go, or Java. Familiarity with monitoring and observability tools such as DataDog, NewRelic, ELK stack, Prometheus, or Grafana. Understanding of modern cloud-native development practices including microservices architecture and RESTful APIs. Ability to thrive in a fast-paced, dynamic work environment.

Job Title: Associate ML Ops Location: Bangalore Department: Data Science Employment Type: Full-time Experience: 1 2 years Job Overview We are seeking a motivated and detail-oriented Associate ML Ops to join our Data Science team. In this role, you will be responsible for supporting the deployment, monitoring, and scaling of machine learning models in production environments. You ll collaborate closely with data scientists and engineers to build robust MLOps pipelines and ensure model reliability, scalability, and performance. If you are passionate about bringing machine learning models to life and have hands-on experience in productionizing ML systems, we d love to hear from you. Key Responsibilities Deploy and maintain machine learning models in production environments using best-in-class tools like Databricks and MLflow. Collaborate with data scientists to translate experimental models into scalable, production-ready systems. Monitor model performance, accuracy, and overall health through automated tools and custom strategies. Build and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Write efficient and optimized SQL and NoSQL queries for data extraction and transformation. Apply software engineering best practices, including version control, testing, and documentation, to MLOps workflows. Work with Python libraries like Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Troubleshoot issues related to model deployment, API performance, or data integration pipelines. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 1 2 years of hands-on experience in solving analytical or machine learning problems in production settings. Must-Have Technical Skills Hands-on experience with Databricks and MLflow Proven expertise in deploying ML models in real-world applications Strong understanding of data structures, algorithms, OOP, and software engineering principles Experience building and maintaining REST APIs using Python Proficiency in SQL and NoSQL Excellent Python programming and debugging skills Familiarity with core Python libraries used in ML and data processing: Pandas, scikit-learn, PySpark, SQLAlchemy, etc. Nice-to-Have Skills Exposure to Kafka for streaming and batch data processing Familiarity with Git and CI/CD pipelines Experience with Python multiprocessing or worker/queue systems Understanding of event-driven or asynchronous programming models This is an exciting opportunity to work at the intersection of data science and engineering. You ll play a key role in productionizing cutting-edge models and ensuring they deliver real business impact. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Job Title: ML Ops Engineer Location: Bangalore Department: Data Science Employee Type: Full-time Experience Required: 3 5 years Position Overview We are seeking an experienced and motivated ML Ops Engineer to join our Data Science team. In this role, you will be responsible for deploying, monitoring, and maintaining machine learning models in production environments. You will work closely with data scientists, engineers, and product teams to ensure models are scalable, reliable, and aligned with business objectives. This role is ideal for professionals who are passionate about building robust ML pipelines and bringing machine learning solutions into real-world applications at scale. Key Responsibilities Deploy and manage machine learning models in production environments, ensuring scalability, reliability, and performance. Build and maintain MLOps pipelines using platforms like Databricks and MLflow. Monitor model performance, accuracy, and health; implement alerting and diagnostics as needed. Develop and maintain RESTful APIs using Python frameworks such as Flask or Django to serve ML models. Optimize data workflows and collaborate with engineering teams to improve model integration and performance. Design strategies for automated model retraining, deployment, and version control. Write clean, maintainable, and efficient code using Python, adhering to OOP principles and best practices. Write complex queries using SQL and work with NoSQL databases to support data pipelines and feature stores. Leverage Python libraries such as PySpark, Pandas, scikit-learn, SQLAlchemy, and Requests. Minimum Qualifications Bachelor s or Master s degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field. 3 5 years of experience in building, deploying, and monitoring machine learning solutions in production. Must-Have Skills Experience with Databricks and MLflow for model training and deployment. Proven expertise in machine learning model deployment and monitoring in live environments. Strong programming skills in Python, with solid understanding of data structures, algorithms, and OOP concepts. Experience developing RESTful APIs using Flask or Django. Proficient in SQL and NoSQL database operations. Hands-on knowledge of libraries such as Pandas, PySpark, scikit-learn, SQLAlchemy, and Requests. Strong analytical, problem-solving, and debugging skills. Good-to-Have Skills Experience with Kafka streaming and batch processing. Familiarity with CI/CD pipelines and version control systems like Git. Understanding of Python multiprocessing, worker/queue systems, and asynchronous/event-driven programming. This is a unique opportunity to work at the intersection of machine learning and DevOps. You'll play a critical role in operationalizing AI models and making them a core part of our product offerings. If you enjoy building scalable systems and solving real-world ML engineering challenges, we d love to meet you. Qualification : Bachelors or Masters degree in Computer Science, Statistics, Econometrics, Operations Research, or a related technical field

Position: Site Reliability Engineer Location: Bengaluru About Groww At Groww, we re on a mission to make financial services simple, accessible, and transparent for every Indian. As one of India s fastest-growing financial platforms, we help millions take control of their financial future through a wide range of products. We re a team driven by ownership, radical customer-centricity, and a deep passion for challenging the status quo. From intuitive design to robust engineering, everything we build is grounded in what our customers need. If you re excited about building systems that power the future of finance in India, we d love to hear from you. Our Vision To empower every Indian with the knowledge, tools, and confidence to make sound financial decisions. Our goal is to be the most trusted financial partner for millions across the country. Our Core Values Customer Obsession We put our users first, always. Extreme Ownership We own everything we do, end-to-end. Simplicity We keep things simple, effective, and intuitive. Long-term Thinking We focus on sustainable, impactful decisions. Transparency We believe in open communication and collaboration. Role Overview: As a Site Reliability Engineer (SRE) at Groww, you will be responsible for ensuring our systems are highly available, performant, and secure. You will work closely with engineering and infrastructure teams to improve reliability, automate deployments, and manage mission-critical services that power our platform. Key Responsibilities: Monitor and troubleshoot issues related to system performance, availability, and security. Define and maintain SLIs, SLOs, and Error Budgets to improve system reliability. Use tools like Grafana to analyze and report on metrics and trace data. Participate in the on-call rotation for 24/7 support of production systems. Collaborate with developers to ensure scalability and reliability are built into new services. Roll out security and infrastructure features proactively. Manage automated deployments, version control, and release rollouts. Perform Root Cause Analysis (RCA) for incidents and implement long-term fixes. Optimize system performance, conduct capacity planning, and create recovery strategies. Identify and automate repetitive tasks to reduce toil. Leverage CI/CD tools such as Git, Jira, Jenkins to streamline development workflows. Requirements: 4 6 years of relevant experience in SRE, DevOps, or infrastructure engineering. Bachelor's or Master's degree in Computer Science or a related field. Strong background in Linux/Unix system administration and networking. Hands-on experience with cloud platforms like GCP or AWS. Proficiency in programming languages such as Python, Java, or Go. Experience with monitoring and alerting tools: Grafana, Prometheus, New Relic, etc. Familiarity with configuration management tools. Experience with Kubernetes, Docker, and container orchestration tools is a strong plus. Excellent problem-solving, communication, and team collaboration skills. Be a part of one of India s fastest-growing fintech startups. Build and scale systems that impact millions of users daily. Work with passionate, driven teammates who are redefining financial services. A culture that encourages continuous learning, ownership, and transparency. If you're ready to help shape the future of fintech infrastructure in India, Groww is the place for you. Let s build something extraordinary together. Qualification : Bachelor's or Master's degree in Computer Science or a related field

Position: Production Engineer Department: Production Location: Bengaluru Role Overview: We are seeking a skilled Production Engineer to manage and optimize the operation of press machines within our production facility. The ideal candidate will ensure smooth, efficient production processes by maintaining equipment, troubleshooting issues, and driving continuous improvement in machine performance and product quality. Key Responsibilities: Oversee the day-to-day operation of press machines, ensuring they run efficiently and meet production targets. Perform routine preventive maintenance to keep press equipment in peak operating condition. Troubleshoot and resolve mechanical, electrical, or operational problems promptly to minimize production downtime. Calibrate and adjust machinery to maintain adherence to quality standards and product specifications. Analyze production data to identify opportunities for enhancing press performance, reducing cycle times, and improving product quality. Respond quickly to mechanical and electrical faults, implementing effective corrective measures. Qualifications & Skills: Bachelor s degree (B.E/B.Tech) in Mechanical Engineering or a relevant diploma. Practical experience in machine operation, maintenance, and troubleshooting in a manufacturing environment. Strong problem-solving skills with the ability to diagnose and fix mechanical and electrical issues efficiently. Knowledge of quality standards and machine calibration techniques. Qualification : Bachelors degree (B.E/B.Tech) in Mechanical Engineering or a relevant diploma.

Job Title: Senior Full Stack Engineer Location: Bengaluru, India Employment Type: Full-time Department: Engineering About Commure At Commure, we empower healthcare providers by reducing administrative burdens and enabling more time for patient care. Our suite of software and hardware solutions including AI-powered assistants, RTLS, and workflow automation are used by over 250,000 clinicians across hundreds of care sites. From clinical documentation and staff safety to patient engagement and remote monitoring, we're transforming healthcare through technology. With the industry entering a pivotal phase of AI-driven transformation, Commure is leading the charge. About the Role As a Senior Full Stack Engineer on our Patient Experience Platform team, you'll design and build intuitive, secure, and scalable web applications that enhance patient engagement and streamline healthcare workflows. This is a high-impact role contributing to mission-critical projects with real-world outcomes. Key Responsibilities Design and develop full-stack applications that connect patients and healthcare providers. Lead architectural decisions to scale and evolve the platform. Work closely with product, design, QA, and DevOps teams to gather requirements, define solutions, and deliver features. Optimize system performance, reliability, and observability using logging, monitoring, and tracing tools. Maintain cloud infrastructure using Infrastructure-as-Code (IaC) for reproducibility and reliability. Enhance alerting systems to reduce noise and improve incident response. Develop secure authentication and authorization systems that comply with industry standards. Build and maintain CI/CD pipelines, supporting a robust and compliant deployment process. Participate in on-call rotations and production support. Document processes, configurations, and troubleshooting steps for internal knowledge sharing. Promote a culture of engineering excellence through code reviews, best practices, and mentorship. Qualifications Required Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 3+ years of experience in full-stack software development. Proficiency in: Front-end: TypeScript, React, Next.js Back-end: Python and Node.js Cloud Platforms: AWS, GCP, or Azure CI/CD: GitHub Actions, Google Cloud Build Version Control: Git Containerization: Docker and Kubernetes Monitoring/Logging: Cloud-native tools and observability practices Experience with production incident support and on-call rotations. Strong communication, collaboration, and leadership skills. Preferred Familiarity with serverless architectures and microservices. Knowledge of healthcare data standards like HL7, FHIR, and HIPAA compliance. Experience optimizing performance for large-scale distributed systems. Why Join Commure + Athelas Mission-Driven Impact: Transforming healthcare, the largest sector in the country. Top-Tier Investors: Backed by General Catalyst, Sequoia, Y Combinator, Lux, and more. Exceptional Growth: Combined organizations growing 500% YoY, with Series D funding and strong runway. Comprehensive Benefits: Competitive compensation, flexible PTO, medical/dental/vision insurance, parental leave (location-dependent). Join us and help power the future of patient care. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Job Title: Senior Software Engineer Customer Solutions Location: Bengaluru, India Employment Type: Full-time Department: Engineering About Commure Commure is revolutionizing healthcare with AI-powered technologies designed to eliminate administrative overhead and give clinicians more time with patients. Our platform combines advanced LLM AI, RTLS, and workflow automation to streamline clinical operations, improve patient engagement, and enhance care delivery. We support 250,000+ clinicians across hundreds of care sites nationwide and we re just getting started. If you're passionate about building life-changing solutions in one of the world s most vital industries, now is the time to join. About the Role As a Senior Software Engineer on the Customer Solutions team, you ll be instrumental in building and customizing applications on top of our Patient Experience Platform to address client-specific needs. Your work will directly impact how healthcare providers interact with our technology and serve patients better. Key Responsibilities Translate business and client requirements into scalable, maintainable technical solutions. Design, develop, and integrate customized applications and services using our core platform. Collaborate with internal teams and customers to prioritize features and maintain a customer-focused development backlog. Build long-term client relationships through technical leadership and delivery excellence. Implement and maintain observability through logging, monitoring, and alerting systems. Apply SRE and DevOps practices to improve stability and incident response. Coordinate testing and quality assurance activities in collaboration with QA teams. Stay informed on healthcare tech trends and integrate innovations into the platform. Participate in client-facing meetings to advise on feasibility, risks, and technical trade-offs. Mentor junior engineers and contribute to a strong engineering culture. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or a related field. 3+ years of professional software development experience. Frontend: React, Next.js, TypeScript Backend: Python, Node.js Cloud: Proficiency in AWS, Azure, or GCP with experience in cloud-native architectures CI/CD: Familiarity with tools like GitHub Actions, Google Cloud Build, etc. Infrastructure: Experience with Docker, Kubernetes, and IaC principles Monitoring & Observability: Implemented logging, tracing, and alerting systems Production Support: Experience with on-call rotations and incident response Strong communication and collaboration skills with cross-functional teams Experience working directly with clients to deliver technical solutions Understanding of APIs, webhooks, and third-party system integrations in healthcare Preferred Skills Familiarity with HIPAA, FHIR, HL7, and other healthcare standards Understanding of data privacy, compliance, and security best practices Strong problem-solving abilities and adaptability in dynamic environments Experience in client support, customization, or professional services engineering is a plus Why You ll Love Working at Commure + Athelas Mission-Driven Work Help transform healthcare through meaningful technology. Elite Backing Backed by General Catalyst, Sequoia, Y Combinator, and more. Explosive Growth 500%+ YoY growth pre-merger and Series D funded. Competitive Benefits Flexible PTO, health insurance, parental leave, and more (location-specific). Be part of the future of healthcare. Join Commure and help build intelligent, scalable systems that truly matter. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or a related field.

Senior Software Engineer Backend Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko Serko is a cutting-edge global technology platform transforming business travel and expense management. Join a passionate team of travelers and technologists powering the world s leading business travel marketplace. As an equal opportunity employer, Serko values diversity and authenticity to create a positive impact. With offices across New Zealand, Australia, North America, China, and a growing hub in Bengaluru, India, we re expanding rapidly and seeking talented professionals to build innovative, world-class products. Role Overview: Senior Backend Software Engineer As a Senior Software Engineer specializing in backend development, you will play a key role in designing, building, and maintaining robust server-side applications. You will collaborate closely with product and technology teams to deliver scalable, high-quality software solutions that enhance customer experiences. You will foster a culture of continuous improvement, driving best practices such as test automation, code refactoring, and modern development methodologies. Key Responsibilities Develop clean, maintainable backend services and APIs with regular deployments to production. Collaborate with Product and Technology teams to build software that delivers exceptional user experiences. Participate in system architecture and design decisions to create scalable and efficient solutions. Advocate for and implement modern engineering practices including Domain-Driven Design, CI/CD, pair programming, and mob programming. Take ownership in a build and run environment, supporting deployment, monitoring, and ongoing maintenance of your code. Mentor and support fellow engineers to foster technical growth and collaboration. Contribute to continuous improvement of team processes, practices, and product quality. Promote a positive engineering culture through leadership, collaboration, and best practices. What You ll Bring Strong proficiency in C# and .NET backend development. Experience or familiarity with frontend technologies like React and Next.js is a plus. Passion for learning new technologies and adapting within a dynamic tech stack. Experience in the travel industry is advantageous but not required. Pragmatic approach to delivering secure, high-performing, and well-designed solutions. Excellent communication, planning, and problem-solving skills. A collaborative team player who thrives in an inclusive environment and values constructive feedback. Competitive base salary with medical benefits and discretionary incentives based on individual and company performance. Access to a robust learning & development platform to support your career growth and skills enhancement. Flexible work policies promoting work-life balance and productivity. Opportunity to make a real impact in a fast-growing, innovative business travel technology company. Join Serko s Bengaluru team as a Senior Backend Software Engineer and help shape the future of global business travel technology.

Role: Senior Analyst Machine Learning Performance & Testing Location: Bengaluru, Karnataka, India Experience: 3 5 Years Employment Type: Permanent, Full-Time About the Role We are seeking a skilled and detail-oriented Senior Analyst with strong experience in ML model performance testing, load testing, and end-to-end (E2E) automation. This role is focused on ensuring scalable, low-latency deployment of production-grade machine learning models. The ideal candidate will be proficient in evaluating model performance under varied workloads, building robust test frameworks, and enhancing system monitoring. Key Responsibilities Conduct load testing and performance benchmarking for machine learning models under varying requests per second (RPS) scenarios. Develop and automate end-to-end test cases to validate model readiness and support smooth rollouts. Monitor and improve model scalability, response time, and error rates across production environments. Collaborate with ML engineers, backend developers, and QA test teams to ensure seamless integration and testing workflows. Identify and address bottlenecks in model inference, helping improve performance for high-volume, low-latency applications. Set up alerting and observability pipelines for model health using industry-standard tools. Required Skills & Tools Performance Testing & Monitoring: ML Load Testing, Job Monitoring, Model Scalability Evaluation Platforms & Tools: Databricks, MLflow, Seldon, Kubeflow, Tecton, Jenkins Cloud Services: Experience with AWS and deploying/testing models in cloud environments Programming Languages: Proficiency in at least one of the following Python, Java, Scala Experience: Working with production-level ML models, especially involving high data volumes and real-time inference Strong communication skills and ability to work in cross-functional teams Preferred Qualifications Hands-on experience with CI/CD pipelines for ML systems Knowledge of A/B testing and canary deployments for ML models Experience building testing frameworks for ML infrastructure at scale Understanding of monitoring and alerting best practices in production ML systems Be at the forefront of ML operations and model performance optimization Collaborate with industry-leading engineers and contribute to cutting-edge AI deployments Gain deep exposure to real-time data systems, cloud platforms, and enterprise-scale ML testing Competitive compensation and an innovative, fast-paced work environment

Data Scientist Location: Bengaluru Department: Global Strategic Services Data Science EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader harnessing AI and data to solve complex business challenges across industries such as Oil & Gas, Chemicals, Pharma, Manufacturing, and Energy. Our flagship solutions include Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. Recognized as a 2022 Technology Innovation Leader and the 2024 Microsoft Energy and Resources Partner of the Year, Cognite is at the forefront of industrial digital transformation. Our Values Impact: We focus on meaningful results. Ownership: We take responsibility, foster inclusivity, and share success. Relentless: We pursue innovation with determination and resilience. Who You Are 3+ years of industry experience (or academic equivalent) in Oil & Gas, Manufacturing, or Power & Utilities, developing analytical solutions for production optimization, predictive maintenance, and related applications (e.g., well monitoring, event prediction, production planning). 1+ years serving as a domain expert on internal or customer projects. Proficient in Python and its data ecosystem (pandas, numpy), and ML libraries such as scikit-learn, Keras, etc. Skilled in data visualization tools like PowerBI, Grafana, Tableau, or web frameworks like Plotly Dash, Streamlit. Advocates for software best practices, including automated testing and documentation. Experienced with version control systems such as Git. Comfortable contributing to large-scale software projects. Pragmatic thinker able to balance short- and long-term tradeoffs. Trusted advisor on machine learning applications, with excellent communication skills for technical stakeholders and customers. Experienced mentor and quality assurer for junior team members. Cloud experience, including building streaming models and deploying serverless functions. Track record working across diverse industries. Eager to stay current with advances in generative AI and explore its practical applications for customers. Be part of a diverse global team with 70+ nationalities and a strong commitment to Diversity, Equality, and Inclusion (DEI). Work from our Bengaluru office (Rathi Legacy, Hoodi) in a modern hybrid environment. Benefit from a flat organizational structure with direct access to decision-makers. Collaborate on impactful, ambitious projects alongside talented professionals across industries. Engage with our community through internal HUBs and open conversations. Make an Impact Join Cognite and help transform industrial sectors by enabling better decisions through AI and data. We encourage candidates of all backgrounds to apply. If you re ready to grow and innovate with us, apply today!

Performance Engineer Location: Bengaluru (Whitefield) Team: Product Engineering Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation through AI and data. Our flagship products include Cognite Atlas AI and Cognite Data Fusion (CDF), empowering industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing to harness data at scale. Recognized with multiple industry awards, including 2022 Technology Innovation Leader and 2024 Microsoft Energy & Resources Partner of the Year, we lead the way in innovative industrial solutions. Our Values Impact: Deliver meaningful outcomes with focus and purpose. Ownership: Take initiative, embrace responsibility, and collaborate inclusively. Relentless: Innovate persistently, learn from challenges, and improve continuously. Role & Responsibilities Design, develop, and execute performance and load tests to ensure system scalability, stability, and reliability of Cognite SaaS products. Identify performance bottlenecks and provide actionable insights for improvement. Build and maintain testing frameworks, scripts, and tools to support performance testing initiatives. Collaborate closely with engineering teams to align testing strategies with system architecture. Monitor production system performance and assist in root cause analysis of performance issues. Share performance optimization best practices via documentation, training, and team discussions. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related fields. 3-5 years of experience in performance testing and engineering, preferably in SaaS environments. Proficiency with performance testing tools such as JMeter, Gatling, LoadRunner, BlazeMeter, or equivalents. Strong understanding of CI/CD pipelines and container technologies like Kubernetes and Docker. Solid programming skills in Java, Python, or similar languages. Experience with databases like PostgreSQL. Familiarity with performance monitoring and analysis tools such as Grafana and Prometheus. Preferred Skills Agile methodology experience and working in globally distributed teams. Expertise testing large-scale systems and handling high-volume data loads. Knowledge of React and JSON for test data creation and API performance testing. Diverse global community with 70+ nationalities and strong DEI focus. Modern, vibrant office in Whitefield, Bengaluru with hybrid work culture. Flat organizational structure with direct access to leadership and minimal bureaucracy. Collaborate with world-class talent on ambitious and impactful industrial tech projects. Engage with the wider Cognite community through HUB conversations and partnerships. Make an Impact Join Cognite to help build scalable, high-performing SaaS solutions that empower industrial enterprises globally. We welcome candidates from all backgrounds to apply. Qualification : Bachelors or Masters degree in Computer Science, IT, or related fields.

Product Manager Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 5 8 Years Employment Type: Full-Time About the Role We re looking for a Product Manager who thrives on building enterprise-grade products from the ground up. In this role, you ll own the P&L for custom-built, high-impact self-service apps developed for Fortune 500 clients ranging from performance monitoring to advanced analytics. These products already show 3x 5x ROI within the first year, and you ll be central to scaling that success. You will lead cross-functional squads of engineers, data scientists, designers, and BAs through the 0-to-1 journey across more than 30+ products in development. This is your chance to work on deeply technical solutions while driving product vision, delivery, and value realization. What You ll Do Product Development & Delivery Own and drive the entire product lifecycle from discovery to go-to-market and continuous iteration. Collaborate with engineering and design teams to translate requirements into feature-rich, scalable applications. Manage timelines, scope, and quality to ensure timely and high-quality product delivery using Agile/Scrum methodologies. Strategic Product Ownership Collaborate closely with clients to co-create tailored solutions that address specific business challenges. Define product goals, success metrics, and prioritization frameworks that align with business outcomes. Participate in core platform strategy meetings to influence the architecture powering all client-facing products. Technical Collaboration Partner with technical architects to design system architecture that is scalable and cloud-optimized. Oversee DevOps and CI/CD pipelines, promoting seamless development-to-deployment workflows. Ensure efficient data pipeline development, warehousing, and transformation aligned with product needs. Quality, Testing, and Rollout Define and manage test strategy including unit testing, automation suites, and QA gates. Own production rollouts and ensure smooth post-launch monitoring and feedback loops. Key Requirements Technical Skills 5 8 years of experience in product management, particularly for custom or data-driven applications. Hands-on experience working with UI/UX teams, and comfort with technologies such as React, Python, APIs, HTML/CSS. Understanding of cloud environments (AWS, Azure, GCP) and cost-optimized architectures. Familiarity with ETL processes, data lakes/warehouses, and modern product analytics frameworks. Non-Technical Skills Exceptional problem-solving, communication, and stakeholder management skills. Ability to juggle multiple priorities in a fast-paced environment while keeping teams aligned and motivated. Experience working with project management tools such as JIRA, Confluence, or similar platforms. Preferred Qualifications Proven experience managing multiple cross-functional product teams. Demonstrated ability to build from scratch ideate, prototype, iterate, and launch. Exposure to product-led growth strategies or enterprise SaaS models. Work on cutting-edge enterprise solutions used by Fortune 500 companies. Be part of a fast-paced, high-ownership environment where your contributions directly impact business outcomes. Collaborate with top-tier tech, data, and design teams to build transformative tools. Shape the future of self-service analytics and intelligent apps.

Position: Senior Data Scientist Location: Bangalore Employment Type: Full-time Experience Required: 5 to 7 years Purpose of the Position: The Senior Data Scientist will play a key role in designing, developing, and implementing machine learning models and algorithms to solve complex business problems. The role involves collaborating with data scientists, software engineers, and business stakeholders to deliver scalable, efficient machine learning solutions that drive innovation and improve business outcomes. Key Responsibilities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production. Monitor model performance and implement improvements as needed. Collaboration and Communication: Work with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay up to date with the latest advancements in machine learning and AI. Experiment with new techniques and technologies to enhance the organization's capabilities. Essential Skills: Machine Learning Frameworks: Experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn. Programming Languages: Strong skills in Python and R. Data Processing: Experience with tools like Pandas, NumPy, and Spark. Model Deployment: Experience with Docker, Kubernetes, MLflow, and FastAPI. Databases: Strong experience in databases like Snowflake, MongoDB, and Cosmo DB. Statistical Analysis: Strong foundation in statistics and probability. Model Management: Experience establishing model management, monitoring, support, and maintenance frameworks. ML Lifecycle: Experience setting up ML lifecycle processes and governance policies, as well as providing L0, L1, and L2 support. Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms like AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies such as Hive, Pig, or Cassandra. Software Engineering: Proficiency in software development and version control systems like Git. Qualifications: Education: Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Key Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies. Apply now to join our dynamic team and lead innovation through machine learning and AI! Qualification : Master's degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field.

Job Description: SaaS Cloud Ops Specialist We are looking for SaaS Cloud Ops specialists involved in managing and supporting cloud-based applications, databases, and services. These roles can include: Designing, planning, implementing, onboarding, configuring, and managing cloud environments and applications; troubleshooting and resolving cloud services issues; maintaining, monitoring, planning, and documenting; and infrastructure-level automation experience. Career Level - IC3 Responsibilities As part of the Oracle Finance GIU - Banking-Application Management Support team, SaaSOps will be taking complete responsibility for supporting & maintaining OCI cloud-based applications, environments, and databases on OCI (Oracle Cloud). The new hire is expected to support 24x7 Production Operations for SaaS customers, associated banking cloud services, and products. Candidate should have expertise in the below (at least 3-4 from below): Kubernetes administration (Mandatory) Oracle Database administrator (Mandatory) OCI administration / or any other cloud administration (Mandatory) Linux (Mandatory) Excellent Communication Skills (Mandatory) 24*7 Production Operations (Mandatory) Expertise in Autonomous Database Automation experience CI/CD Pipelines Knowledge in GIT Repository Disaster Recovery (DR) SaaSOps is expected to possess strong troubleshooting skills and will need to work on a ticketing-based system to resolve issues and monitor various aspects of the cloud services as part of the day-to-day job. Also, he/she will work on critical and non-critical issues from the queues, escalation channels, and other modes of assignments. The candidate would be expected to update Service Requests with technical and non-technical solutions, meet SLA requirements, and interact with other functional teams, customers, customer management teams, and Product engineering teams as and when required.

About Intugine: Ever wondered how the physical goods we consume every day from your favorite dairy products and snacks to the latest electronics make their way to your doorstep on time and in perfect condition? The journey of these products is complex, spanning from sourcing, manufacturing, and storage, to being transported across an intricate global supply chain. Global brands often face challenges such as lack of visibility over their raw materials, delays in production, and tracking shipments across different transportation modes and geographies. At Intugine Technologies, we provide a best-in-class visibility platform that helps brands gain complete transparency over their supply chains, covering all transport modalities air, land, sea, and rail. Our solutions have helped eliminate operational inefficiencies, reduce logistics costs, and improve key metrics like OTIF (On-Time In-Full), order-to-delivery turnaround time, as well as minimize dwell time and detention costs. Intugine is also a proud partner of India's National Logistics Policy, integrating with systems like FASTag, Port Community System, and Freight Operations Information System to provide even deeper insights. With over 75 global enterprise customers, including GE Healthcare, Flipkart, Titan, Diageo, Ultratech Cement, and Bridgestone, Intugine is at the forefront of transforming global supply chains. About the Role: Associate Manager - Customer Success The Associate Manager - Customer Success will play a vital role in the growth and operations of the business. This individual will take on a high level of responsibility, directly interacting with customers and service providers. As part of their role, they will manage and oversee the successful implementation of Intugine s solutions at mid-market customers, while ensuring optimal service delivery and continuous improvements in customer experience. Responsibilities: Lead the end-to-end implementation of Intugine s solution for mid-market customers, ensuring timely deployment and guiding the team through operational excellence processes. Travel to client locations to understand their needs, train them on Intugine s solutions, and build strong relationships. Collaborate with technical teams to configure and troubleshoot Intugine s software platform as per client specifications. Design, implement, and continuously improve processes, monitoring KPIs to ensure projects meet client requirements. Research and analyze new Intugine products and design processes for their implementation. Set up systems and processes that lead to 100% conformance to client specifications and requirements. Maintain strong communication with clients, managing expectations and addressing any technical issues or concerns. Requirements: 1-2 years of experience in product implementation, preferably in a B2B SaaS environment. Strong organizational skills, with the ability to manage multiple tasks and projects simultaneously. Excellent communication and interpersonal skills, enabling you to deal diplomatically with various stakeholders. Knowledge of supply chain management (SCM) is a plus. A systematic approach to problem-solving, with a keen eye for both big-picture strategy and small daily tasks. Ability to work autonomously and assume responsibility. Strong written and spoken English skills. Creative and innovative mindset to introduce new concepts and drive improvements. Soft skills, including time management, prioritization, and delegation, are essential. Perks at Intugine: Employee Stock Options Take a slice of the pie and grow with us. Comprehensive Health Cover For you and your loved ones. Personal Development Budget Upskill yourself; we ve got the bill. Flexible Working Hours Set your own work hours. Open Door Policy No cubicles, open collaboration. Generous Parental Leave Because work comes second sometimes. Documented Equal Pay Policy Ensuring fairness. Education Assistance Let us help you soar to new heights. Work Autonomy Enjoy complete ownership over your work. Employee Life Skill Training Program Sessions on tax saving, investments, mental well-being, health, and fitness. Company Outings Unwind with your teammates, work can wait. Paid Time Off Your well-being is our priority. If you're ready to make an impact and grow with a company that s shaping the future of supply chain technology, Intugine is the place for you. Join us and be part of our journey!

Job Title: Principal SDET Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: About the Role As a Principal SDET at Locus, you will play a critical role in driving the quality and reliability of our platform. This role goes beyond traditional testing; you will design, develop, and enhance automated test frameworks, ensure seamless integration of quality engineering practices, and mentor team members to establish a quality-first culture. Key Responsibilities: Automation Framework Design and Development: Architect, develop, and maintain robust test automation frameworks for backend, APIs, and frontend components. Ensure the frameworks are scalable, reusable, and aligned with the latest industry standards. Test Strategy and Planning: Collaborate with product managers, developers, and DevOps to define comprehensive test strategies for new features and system enhancements. Own the end-to-end testing lifecycle, from requirement analysis to test case creation, execution, and reporting. Drive better QA practices (In areas Like: defect creation, Capturing scope of feature, Sign offs , matrix of coverage in functional and automation etc) Quality Advocacy and Best Practices: Drive the adoption of best practices in testing, coding standards, and CI/CD processes across teams. Act as a champion of quality by fostering a quality-first mindset and instilling a culture of rigorous testing. Test Execution and Debugging: Conduct functional, performance, and security testing, ensuring the product meets the highest quality standards. Debug complex issues and work closely with developers to identify and resolve root causes. Continuous Improvement: Analyze test results and metrics to identify areas for improvement in testing processes and product quality. Contribute to the development and enhancement of monitoring and alerting systems to proactively address production issues. Mentorship and Collaboration: Mentor and guide junior SDETs and quality engineers, sharing knowledge and expertise to elevate the team s capabilities. Collaborate effectively with cross-functional teams to ensure quality is integrated into every stage of the development process. Develop a good understanding of velocity in teams and across the org and work towards removing roadblocks to improve release velocity Qualifications: 5-8 years of experience in software testing, with at least 3 years focused on test automation. Proficiency in programming languages such as Java, Python, or JavaScript. Hands-on experience with test automation tools and frameworks for Web and API automation like Selenium, Appium, TestNG, JUnit, or similar. Exp of working on any AI enabled testing tools or frameworks is a plus. Expertise in API testing and automation using tools like Postman, RestAssured, or equivalent. Familiarity with performance testing tools such as JMeter or Gatling. DevOps and CI/CD: Experience with CI/CD pipelines using tools like Jenkins, GitLab CI/CD, or GitHub Actions. Knowledge of Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) is a plus. Strong debugging skills and the ability to identify root causes of issues quickly. Excellent communication, collaboration, and leadership skills. Experience in testing large-scale, distributed systems. Knowledge of security testing and tools like OWASP ZAP or Burp Suite. Exposure to machine learning models and their testing challenges. Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.

Job Title: Software Development Engineer - 2 Location: Bangalore (On-site; full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women s safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: About the Role: As an Software Development Engineer -2, Backend Engineer at Locus, you will play a pivotal role in building robust, scalable, and high-performance backend systems. You will be at the forefront of designing solutions that can handle millions of transactions, ensuring reliability, security, and innovation across our products. Key Responsibilities: System Design: Architect scalable backend services and APIs, focusing on low-latency and high-throughput systems. Core Development: Build, test, and deploy features using Java, ensuring code quality and maintainability. Performance Optimization: Analyze and optimize application performance and scalability by addressing bottlenecks and implementing efficient algorithms. Database Management: Design, query, and maintain complex databases (relational and NoSQL), ensuring data consistency and availability. Integration: Collaborate with frontend and data teams to integrate backend services seamlessly. Ownership: Take end-to-end responsibility for assigned modules or features, from requirements gathering to production deployment and monitoring. Security: Implement robust security practices to safeguard systems and user data. Code Reviews: Conduct thorough peer reviews to maintain coding standards and share knowledge within the team. Mentorship: Guide junior engineers, fostering a culture of learning and innovation. Skills and Qualifications: Core Expertise: Proficiency in Java and frameworks like Spring Boot. Database Knowledge: Experience with MySQL, PostgreSQL, or similar, along with hands-on knowledge of NoSQL solutions like MongoDB or Cassandra. Cloud Experience: Familiarity with AWS, Azure, or GCP for deployment and infrastructure management. Tooling: Experience with CI/CD pipelines, version control systems (Git), and monitoring tools like Prometheus or Grafana. Problem-Solving: Strong analytical skills with a focus on algorithms, data structures, and system design. Collaboration: Ability to work closely with cross-functional teams and adapt to a fast-paced environment. Education: Bachelor's or Master s degree in Computer Science, Engineering, or a related field. Join Locus and become part of a visionary team that is redefining logistics through innovation and smart distribution. We provide competitive compensation, comprehensive benefits, and a collaborative environment where your expertise will drive both your growth and that of the organization. Locus is an equal opportunity employer dedicated to creating a diverse and inclusive workplace.