Infrastructure AS Code Jobs in Bengaluru

Senior Technical Architect Location: Bengaluru Work Type: Full-Time About Locus Locus is a battle-tested, agentic Transportation Management System powering all-mile, all-channel logistics across 30+ countries. In 2025, Locus joined the Ingka Group (IKEA Retail), gaining the scale of a global leader while continuing to operate independently. Headquartered in Bangalore with a global footprint, we are a team of 170+ problem-solvers united by a mission to reinvent how the world moves goods. What We Value Global Mindset: Curiosity about diverse markets. Driven: Energized by complex challenges. Thoughtful: Analytical and deliberate. Adaptive: Decisive in fast-moving environments. Exacting: Commitment to excellence and detail. Role Overview You will define the architectural backbone of Locus s enterprise SaaS platform. This role bridges the gap between product vision and technical execution, ensuring our systems remain scalable, extensible, and resilient as we grow globally. Key Responsibilities Platform Vision: Define high-level system and module architectures aligned with business goals. Domain-Driven Design: Build domain-centric, loosely coupled systems for logistics and enterprise SaaS. Scale & Performance: Architect resilient, high-throughput systems for real-time data processing. Technical Mentorship: Lead design reviews and mentor engineers on architectural patterns and best practices. Modernization: Identify technical debt and define phased roadmaps for platform evolution. Ideal Candidate Profile 10+ years in software architecture, including 3+ years in enterprise SaaS platform architecture. Domain Expertise: Deep knowledge of TMS, WMS, routing, or optimization systems. Technical Stack: Mastery of Microservices, Event-Driven Architectures, REST APIs, and Cloud-Agnostic design. Leadership: Proven ability to communicate complex blueprints to both executive stakeholders and engineering teams. Shape the future of logistics automation, establish a foundation for global innovation, and solve complex, real-world problems with the backing of the IKEA ecosystem.

Senior Backend Engineer, Cloud Platform Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, empowering over 40 million developers and 500,000 organizations, including 98% of the Fortune 500, to build and manage APIs efficiently. We simplify each step of the API lifecycle, enabling teams to create better APIs, faster. Founded in Bengaluru, Postman is headquartered in San Francisco, with offices in Boston, New York, and Bengaluru. We are privately held, backed by Battery Ventures, BOND, Coatue, CRV, Insight Partners, and Nexus Venture Partners. The Opportunity We are looking for a Senior Backend Engineer to join our Cloud Platform Team. You will design and implement robust backend systems and APIs that support internal tooling and enhance the productivity of Postman s engineering organization. This role requires a combination of strong backend expertise, problem-solving ability, and collaboration skills. Key Responsibilities Design & Development Build scalable and maintainable backend solutions. Develop high-quality APIs using modern backend technologies. Optimize applications for speed, performance, and scalability. Collaboration & Communication Work closely with frontend engineers, designers, and product managers to deliver innovative solutions. Participate in code reviews, sharing knowledge and maintaining code quality. Tooling & Integration Develop tools and components to support other engineering teams workflows. Integrate with backend services and APIs to deliver comprehensive solutions. Maintenance & Improvement Continuously refactor and optimize backend systems. Stay updated on industry trends and emerging technologies to keep Postman s platform cutting-edge. About You Education & Experience Bachelor s degree in Computer Science, Engineering, or equivalent experience. 6+ years of backend development experience, preferably in SaaS or cloud platforms. Technical Skills Strong proficiency in Java, Spring, and Kubernetes. Experience with Helm and Argo is a plus. Knowledge of RESTful APIs and asynchronous request handling. Familiarity with Git and version control best practices. Soft Skills Excellent problem-solving skills and attention to detail. Strong collaboration and communication abilities. Comfortable in a fast-paced, agile development environment. Flexible hybrid work model with a collaborative team environment. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Wellness programs, team-building events, and donation-matching initiatives. Inclusive, growth-oriented culture where every team member can thrive. Our Values Curiosity: Explore and innovate boldly. Transparency: Communicate openly about successes and failures. Focus: Deliver results aligned with Postman s vision. Inclusion: Every voice matters. Excellence: Strive for the best products and experiences. Qualification : Bachelors degree in Computer Science, Engineering, or equivalent experience

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.

Position: DevOps Engineering Manager Location: Bangalore Experience: 5 10 years Education: BE/BTech/MCA/MTech/MSc Role Overview: We re looking for an experienced DevOps Engineering Manager to lead our cloud infrastructure, automation, and DevOps initiatives. This is a hands-on leadership role focused on driving efficiency, security, and scalability across our IT operations and development pipelines. Key Responsibilities: Cloud & Infrastructure Management: Administer and manage Google Workspace, including user accounts, security policies, and compliance settings. Oversee and optimize AWS resources (EC2, IAM, S3, VPC), ensuring cost-effective and secure cloud operations. Configure and manage A10 vThunder for load balancing and network performance optimization. Serve as Active Directory Administrator, maintaining AD, DNS, and Group Policy Objects (GPOs). Deploy, maintain, and troubleshoot VMware environments to support virtual infrastructure. Security & Compliance: Manage domain and SSL certificates including installation, renewal, and issue resolution. Handle ADFS token certificate renewals to support uninterrupted authentication services. Enforce security best practices across cloud and on-prem environments. Automation & Scripting: Create and maintain automation scripts using Bash, PowerShell, or Python to streamline workflows. Reduce manual intervention and boost system efficiency through smart scripting and task automation. Monitoring & Troubleshooting: Proactively monitor system logs, performance metrics, and security alerts to prevent downtime. Investigate and resolve issues related to network, infrastructure, and cloud environments promptly. Required Skills & Experience: Proven experience with infrastructure automation tools such as Terraform or CloudFormation. Strong understanding of DevOps practices and implementing CI/CD pipelines for cloud deployments. Solid scripting skills in Bash, PowerShell, or Python. Expertise in managing both cloud-based and on-premise infrastructure. Strong troubleshooting capabilities and a proactive approach to system monitoring. Qualification : BE/BTech/MCA/MTech/MSc

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

Senior Associate Infrastructure L1 (AWS) Location: Bengaluru, India Department: Infrastructure & Cloud Engineering Employment Type: Full-Time About the Role As a Senior Associate Infrastructure L1 (AWS), you will design, implement, and manage secure, scalable, and highly available cloud infrastructure for enterprise digital transformation initiatives. You ll collaborate with cross-functional teams to automate deployments, enable DevOps best practices, and ensure robust observability across systems. Your goal is to reduce time-to-market and optimize performance, cost, and compliance. Key Responsibilities Architect and build immutable infrastructure on AWS and/or other cloud platforms. Implement and maintain infrastructure as code using Terraform, CloudFormation, or similar. Manage containerized environments using Kubernetes (EKS/GKE), ECS, Docker, and Helm. Implement service mesh (e.g., Istio) for advanced traffic management, monitoring, and security. Develop and manage CI/CD pipelines using Jenkins, GitLab, CircleCI, or similar. Automate build/deployment processes using Groovy, Go, Python, Shell, or PowerShell. Integrate DevSecOps and security scanning into the software delivery lifecycle. Configure and maintain monitoring, logging, and observability using: Monitoring: Prometheus, Grafana, Datadog, New Relic Logging: ELK Stack, Fluentd, Splunk Observability: OpenTelemetry, Jaeger, Kiali, CloudTrail, Dynatrace Troubleshoot infrastructure, performance, and deployment issues. Collaborate with application teams and stakeholders to ensure high performance and availability of deployed services. Required Skills & Qualifications 4 to 12 years of experience in Cloud Infrastructure & DevOps roles. Bachelor's or Master s degree in Engineering, Computer Science, or related field. Hands-on experience with AWS (EC2, VPC, IAM, Lambda, RDS, CloudWatch, etc.) Solid experience in container orchestration using Kubernetes (EKS/GKE) and infrastructure management. Expert in IaC tools like Terraform (preferred), ARM templates, Pulumi, etc. Proficiency in CI/CD pipeline automation and scripting. Familiarity with cloud-native security practices and vulnerability scanning tools. Experience with DNS, Load Balancers, and high-volume application infrastructure setup. Hands-on experience with artifact repositories like Nexus or Artifactory. Preferred Certifications (Nice to Have) Associate-level certifications in AWS, Azure, or GCP HashiCorp Certified Terraform Associate Benefits Gender-neutral workplace policies 18 paid holidays per year Generous parental leave and new parent transition support Flexible work arrangements Comprehensive Employee Assistance Program (mental & physical wellness) About Publicis Sapient Publicis Sapient is a global digital transformation partner helping established organizations evolve into their future state through technology, data, consulting, and customer-first experiences. With over 20,000 employees across 53 offices, we combine deep domain knowledge with a start-up mindset and agile methods to solve complex business challenges.

Position: Senior Technical Architect Location: Bangalore, India Shift: Flexible, with some support for US/EMEA business hours (up to 11 PM IST) About Workato Workato is a global leader in enterprise orchestration, empowering over 400,000 customers to streamline operations by integrating data, processes, apps, and user experiences via its AI-powered platform. Backed by accolades from Forbes, Quartz, and Deloitte, Workato blends cutting-edge innovation with a culture of autonomy, trust, and collaboration. The Opportunity As a Senior Technical Architect on the Accelerators Team, you ll drive the design and development of packaged integration solutions, frameworks, and reusable assets that solve real-world customer problems. This role blends deep hands-on technical work with strategic planning, cross-functional collaboration, and customer-facing engagements. Key Responsibilities Accelerator & Product Ownership Lead the full lifecycle of accelerators: planning, architecture, development, testing, and continuous iteration. Work closely with stakeholders to prioritize business and technical requirements. Translate abstract challenges into scalable solutions using Workato s iPaaS capabilities. Technical Design & Execution Architect complex integrations and reusable frameworks. Build and test new accelerator features rapidly and reliably. Guide exception handling, CI/CD processes, and connector development. Cross-Team Collaboration Support internal teams (Sales, Product, Services) through custom demos, documentation, and enablement. Contribute to technical marketing through whitepapers, webinars, and blog posts. Participate in Agile sprints and run scrum meetings when required. Customer Engagement & Enablement Collaborate directly with customers to gather insights and tailor technical solutions. Ensure solutions meet enterprise security, governance, and compliance needs (e.g., SOX). Provide up to 20% of support bandwidth during US/EMEA hours. What You Bring Technical Skills 12+ years in design, development, or architecture roles. 8+ years in integration platforms (MuleSoft, Dell Boomi, TIBCO, Oracle SOA, etc.). Deep understanding of API, microservices, and event-driven architectures. Hands-on experience with iPaaS (Workato preferred), SaaS (e.g., Salesforce, NetSuite), and cloud platforms (AWS/GCP/Azure). Working knowledge of REST, SOAP, JSON, XML, and EDI. Comfortable coding in Java, Python, or Ruby. Experience with CI/CD and connector SDKs a plus. Soft Skills & Mindset Strategic thinker with strong analytical and problem-solving ability. Excellent verbal and written communication, capable of engaging both technical and non-technical audiences. Agile practitioner with stakeholder-facing experience. Self-starter with curiosity, adaptability, and a bias for action.

Job Title: Cloud Architect SRE Location: Bangalore, India Shift: Rotational Shift Overview At Aptean, we build tailored ERP solutions that power transformation across industries from food production to manufacturing. In a world of generic enterprise software, our targeted products stand apart, delivering measurable results. With over 50 products, 3,000+ employees, and a global customer base, now is the perfect time to grow your career with us. About the Role We are looking for a highly skilled Cloud Architect SRE with deep expertise in Amazon Web Services (AWS) to lead the design, implementation, and management of cloud infrastructure. You ll play a pivotal role in defining our cloud strategy, enhancing system reliability, optimizing performance, and ensuring high availability and security across environments. Key Responsibilities Cloud Architecture & Strategy Design scalable, secure, and resilient AWS cloud architectures. Define and maintain architectural standards, templates, and best practices. Drive cloud governance, including IAM, PIM/PAM, and policy enforcement. Infrastructure & Automation Manage and troubleshoot AWS IaaS and PaaS services. Expertise in Windows Server OS, DNS, DHCP, RDWeb, and domain controllers. Implement automation and scripting for reporting, inventory, and orchestration. Optimize cloud resources for performance, reliability, and cost efficiency. Security & Compliance Implement AWS security controls including IAM, encryption, and network protection. Ensure compliance with frameworks like SOC2, BUPA, and internal policies. Conduct regular security assessments and resolve vulnerabilities. Cost Optimization Analyze and reduce cloud costs using AWS Cost Explorer, Trusted Advisor, etc. Leverage reserved and spot instances, right-sizing, and efficient resource management. Documentation Create and maintain detailed documentation including architecture diagrams, SOPs, and technical guides. Qualifications Education: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5+ years of hands-on experience designing and deploying AWS cloud architectures. Proven experience with AWS services such as EC2, S3, VPC, IAM, RDS, and CloudFormation. Proficiency with Infrastructure as Code (Terraform, CloudFormation). Strong understanding of networking protocols and DevOps principles. Certifications (preferred): AWS Certified Solutions Architect Professional AWS Certified DevOps Engineer Professional Soft Skills: Strong analytical and troubleshooting abilities Excellent communication and team collaboration Proactive and self-driven with the ability to work independently If you're passionate about solving complex technical challenges and shaping the future of cloud infrastructure, Aptean is the place for you. Our culture values diversity, inclusion, and collaboration where every voice matters and innovation thrives. Diversity & Inclusion at Aptean Aptean is committed to fostering a diverse, inclusive workplace. We celebrate differences in race, gender identity, sexual orientation, religion, disability, age, and background believing that diverse teams drive innovation and better results for our customers. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Position Title: Senior Data Engineer Databricks, PySpark, Cloud Platforms Location: Bengaluru Bellandur (GTP) Employment Type: Full-time Job Summary Synechron is looking for a Senior Data Engineer to join our advanced analytics team in Bengaluru. In this role, you will architect and build scalable, high-performance data pipelines that power data science, analytics, and business intelligence initiatives. You ll work with modern tools including Databricks, PySpark, and cloud data platforms, while collaborating across teams to ensure high-quality, secure, and efficient data solutions. Key Responsibilities Design, develop, and maintain large-scale, secure, and efficient data pipelines using Databricks, PySpark, and cloud-native tools. Partner with data scientists, analysts, and business stakeholders to translate requirements into robust data solutions. Integrate data from various structured, semi-structured, and streaming sources. Ensure high standards for data quality, performance optimization, security, and cost efficiency. Drive data pipeline automation, orchestration, and monitoring using tools like Airflow. Lead troubleshooting efforts, performance tuning, and enhancements of existing pipelines. Stay informed about emerging data technologies and recommend adoption where relevant. Technical Skills Core Expertise Programming: Python (expert), SQL (advanced), PySpark. Platforms: Databricks (clusters, notebooks, workflows), AWS/Azure/GCP. Data Orchestration: Apache Airflow (or similar). Data Warehousing: Snowflake (preferred), data modeling, ETL/ELT pipelines. Streaming: Kafka or other stream processing tools. DevOps: CI/CD (GitLab CI, Jenkins), version control (Git), containerization (Docker/Kubernetes preferred). Security: Familiarity with encryption, access controls, and compliance best practices. Experience 8+ years of experience in data engineering or related roles. Proven expertise in developing and deploying scalable data pipelines using Databricks, PySpark, and SQL. Hands-on experience with cloud platforms (AWS, Azure, or GCP). Strong background in data warehousing, especially with Snowflake. Exposure to real-time data processing and orchestration tools. Experience implementing CI/CD pipelines for data workflows is a plus. Daily Responsibilities Build and optimize data ingestion, transformation, and storage workflows. Collaborate with cross-functional teams to align data solutions with business objectives. Monitor, troubleshoot, and continuously improve pipeline performance. Conduct data quality checks, ensure governance and compliance standards. Contribute to technical documentation, code reviews, and team knowledge sharing. Qualifications Bachelor s or Master s degree in Computer Science, IT, or related field. Relevant certifications (e.g., Databricks Certified Data Engineer, AWS Certified Data Analytics) are preferred. Professional Competencies Strong problem-solving and analytical mindset. Effective communicator with ability to collaborate across technical and non-technical teams. Time management and prioritization skills under tight deadlines. Proactive leadership and a passion for innovation. Commitment to ethical data use and data security. Diversity & Inclusion at Synechron Synechron is committed to building an inclusive, diverse, and equitable workplace. Through our global Same Difference DEI initiative, we celebrate and support people from all backgrounds, including race, gender, sexual orientation, religion, age, disability, and more. We offer flexible work arrangements, continuous learning, internal mobility, and mentoring programs to support every employee s growth. Qualification : Bachelors or Masters degree in Computer Science, IT, or related field

Senior Principal Engineer Bengaluru, India Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko Serko is a pioneering global tech platform transforming business travel and expense management. We unite passionate travelers and technologists through the world s leading business travel marketplace. As an equal opportunity employer, Serko embraces diversity and authenticity to drive meaningful impact. With offices in New Zealand, Australia, North America, China, and our new hub in Bengaluru, India, we are rapidly expanding our global footprint to build world-class products and teams. Role Overview: Senior Principal Engineer Technical Leadership & Innovation As a Senior Principal Engineer at Serko, you will be instrumental in shaping the technical vision and driving engineering excellence across multiple product streams. You ll collaborate closely with engineering leadership and cross-functional teams to solve complex challenges, lead strategic projects, and foster a culture of innovation and high performance. Key Responsibilities Technical Leadership: Champion engineering best practices, embedding them across teams to elevate quality and consistency. Cross-Stream Collaboration: Proactively resolve coordination challenges to keep teams aligned and productive. Customer-Centric Delivery: Partner with Product Managers to ensure pragmatic, high-impact solutions that maximize customer value. Project Leadership: Lead or contribute to critical technical projects, prototypes, and innovative solutions addressing high-priority challenges. Mentorship: Guide and mentor engineers, sharing expertise to build technical capability and foster career growth. Performance Optimization: Continuously improve system scalability, reliability, and performance. Innovation & Research: Stay abreast of industry trends and emerging technologies to introduce fresh approaches and maintain technical leadership. Process Improvement: Drive continuous enhancements in product development processes to boost efficiency and customer satisfaction. Stakeholder Engagement: Maintain clear communication with stakeholders, gathering insights and providing regular updates. Qualifications & Skills Deep expertise in relevant technologies, tools, and programming languages aligned with your product stream. Proven problem-solving skills and meticulous attention to detail. Experience leading teams through complex technical changes and maintaining alignment between Product and Technology organizations. Strong interpersonal and communication skills for effective collaboration. Ability to work independently and collaboratively in a fast-paced, agile environment. Tertiary qualification in Engineering or related discipline, or equivalent experience. Competitive Compensation: Attractive base salary complemented by medical benefits and performance-based incentives. Professional Growth: Access to a comprehensive learning & development platform to own your career journey. Flexible Work Environment: Policies that support work-life balance and remote collaboration. Innovative Culture: Join a passionate team dedicated to transforming the future of business travel technology. Join Serko s Bengaluru team as a Senior Principal Engineer and lead the engineering innovations shaping global business travel! Apply now.

Technical Architect (.NET) | 10 12 Years Experience | Bangalore (Onsite) Location: Bangalore (Work from Office) Experience: 10 to 12 Years About the Role We are seeking an experienced Technical Architect with a strong background in .NET technologies to lead the design and architecture of scalable web-based applications. The ideal candidate will possess extensive experience in Microsoft technology stacks, a deep understanding of software architecture principles, and proven leadership in guiding development teams. This role is critical in driving the technical vision for our innovative real estate ERP platform, In4Suite . Key Responsibilities Lead the technical architecture, design, and implementation of web applications using ASP.NET, C#, and SQL Server. Drive end-to-end architectural decisions aligned with business goals for web-based product development. Oversee release management processes ensuring smooth and reliable software deployments. Utilize Microsoft Team Foundation Server (TFS) or equivalent tools for source control and versioning. Implement design patterns such as the Facade Pattern to ensure clean, maintainable code. Collaborate with cross-functional teams including development, QA, and product to ensure technical feasibility and project success. Mentor and provide technical guidance to developers and engineers. Stay abreast of emerging technologies, recommending innovative solutions to enhance product performance and scalability. Champion continuous improvement initiatives to optimize software development practices and methodologies. Required Skills & Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or related field. 10+ years of experience in software development with a strong focus on .NET architecture. Proficient with Microsoft technologies: ASP.NET, C#, SQL Server. Hands-on experience with source control tools such as TFS, Visual SourceSafe, or CVS. Strong knowledge of database concepts, SQL, web services (SOAP/REST, XML), remoting, and RDBMS (preferably SQL Server). Expertise in OOAD (Object-Oriented Analysis and Design), UML, and software design patterns. Experience in Build & Configuration Management is a plus. Knowledge of ASP Classic, VB 6.0, Crystal Reports, and ERP systems is advantageous. Microsoft certifications preferred. Excellent problem-solving, communication, and leadership skills. Company Culture & Values Positive, collaborative approach to teamwork with a willingness to support peers. Effective verbal and written communication to express ideas clearly and respectfully. Commitment to a team-first mindset valuing we over me. Growth-oriented attitude with a dedication to continuous learning and skill enhancement. Benefits Flexible working hours to support work-life balance Opportunities for continuous learning and professional development Comprehensive medical and insurance benefits About In4Velocity Since 2004, In4Velocity has been a trusted partner for real estate, construction, and infrastructure companies, transforming their operations through innovative technology solutions. Our flagship product, In4Suite , is a unified software platform providing a comprehensive 360-degree view of all real estate processes connecting buy-side, sell-side, and in-house operations seamlessly. With powerful Business Intelligence and global support, In4Suite is the preferred platform for clients worldwide, streamlining real estate development and construction management. Our unwavering commitment to innovation positions In4Velocity as a leader driving progress in the real estate software industry. Apply now to join In4Velocity s visionary technology team! Qualification : Bachelors or Masters degree in Computer Science, Engineering, or related field.

Senior Solution Architect Location: Bengaluru Team: Global Strategic Services Architecture EMEA Type: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader helping industrial companies solve complex problems using AI and data. Our key platforms Cognite Atlas AI, a next-gen industrial agent workbench, and Cognite Data Fusion (CDF) enable businesses to make faster, smarter, and more sustainable decisions. We ve been recognized as a 2022 Technology Innovation Leader for Digital Industrial Platforms and the 2024 Microsoft Energy & Resources Partner of the Year. With a mission to accelerate digital transformation across energy, oil & gas, manufacturing, and heavy industries, we re building a more connected and intelligent industrial future. Our Values Impact: We are result-oriented, focusing on real-world outcomes. Ownership: We take responsibility, work inclusively, and rise to challenges together. Relentless: We push boundaries, solve hard problems, and learn from every setback. About the Role As a Senior Solution Architect in the Global Customer Success (GCS) team, you ll play a key role in designing cutting-edge digital solutions for some of the world s largest industrial companies. Working within the EMEA Delivery organization, you ll collaborate with customers in the MENA and SEA regions to drive business outcomes and successful technology adoption. This is a customer-facing role where your technical leadership will directly influence the success of digital transformation projects helping clients improve productivity, reduce costs, and meet sustainability goals. What You ll Do Lead end-to-end architecture design for large-scale industrial data solutions. Deliver strategic and technical guidance to internal and external stakeholders. Define scalable enterprise architecture, including integrations, data pipelines, and models. Communicate complex ideas clearly using architecture modeling tools and documentation. Ensure operational stability of solutions with clear support models. Own technical relationship building and act as a trusted advisor to clients and partners. Translate customer feedback into product development inputs. Lead training sessions and collaborate with Sales, Product, and Engineering teams. Independently build integration flows using Cognite SDKs, SQL, Python/Java, and REST APIs. What You ll Bring 8+ years in software development, systems architecture, cloud computing, or IT consulting. Proven customer-facing experience, with the ability to bridge technical and business conversations. Solid hands-on experience in Python, with strong software engineering practices. Strong grasp of data modeling, DevOps principles, and cloud infrastructure. Expertise in AI, cloud, and data integration tools. Excellent communication skills, especially in engaging with executive stakeholders. Experience in Oil & Gas or other industrial sectors is a plus. Be part of a global team spanning 70+ nationalities with strong DEI focus. Work from our modern Bengaluru office (Rathi Legacy, Hoodi) with a hybrid work setup. Thrive in a flat, transparent organization with minimal bureaucracy. Collaborate with industry leaders on ambitious digital projects across the globe. Build innovative solutions that enable better decision-making, operational efficiency, and environmental impact. Enjoy a fun, respectful, and highly engaged culture where your work truly matters. Make Your Impact Cognite is not just another tech company we re building a movement that enables safer, more efficient, and more sustainable industrial operations. If you're excited to work on meaningful challenges with cutting-edge AI and data platforms, we encourage you to apply today. We welcome and value candidates from all backgrounds, experiences, and identities.

Senior Backend Engineer Innovation Team Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Global Strategic Services Industry Innovation and Solutions Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader using AI and data to transform industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Our award-winning platforms include Cognite Data Fusion and Cognite Atlas AI, driving industrial digital transformation worldwide. The Team & Role You ll join Cognite s Innovation Team working on batch processing applications for a key American emulsions industry client. This role focuses on backend development and data engineering to deliver scalable, robust solutions handling complex data workflows with multidisciplinary teams and global stakeholders. Key Responsibilities Architect and develop backend systems for complex batch data processing workflows with a focus on reliability amid inconsistent/incomplete data. Build resilient workflows handling multi-source data and minimizing system impact from component failures. Develop and optimize data models for domain-specific industrial problems. Create data transformation functions to extract actionable insights from raw data. Manage scalable distributed systems and ensure operational reliability. Collaborate cross-functionally to refine requirements and deliver solutions. Work with large datasets using SQL and NoSQL technologies. Troubleshoot full application lifecycle issues, from dev to production. Stay current on tech trends to innovate team practices. Strong backend development experience, distributed systems, and complex domain modeling. Proficiency in Python, SQL, and NoSQL databases. Experience with cloud-based architectures, automated testing, version control, CI/CD pipelines. Problem-solving skills, especially when data or context is incomplete. Self-driven, taking ownership from concept to deployment. Collaborative and excellent communicator, comfortable engaging global stakeholders. Bonus: knowledge of Data Science and Machine Learning. Diverse global team of 70+ nationalities with strong DEI focus. Modern Bengaluru office with hybrid work flexibility. Flat structure with direct leader access, minimal bureaucracy. Work on ambitious, impactful projects with leading tech experts. Active community engagement with partners and customers. Excited to build next-gen industrial data solutions with Cognite? Apply today and make an impact in a fast-growing, innovative SaaS company!

Platform Solution Architect Job Overview As a Platform Solutions Architect, you will serve as a pre-sales specialist, supporting the broader sales organization with deep technical knowledge across database and cloud workloads. This means working with customers and prospects to educate them on how Rubrik protects and manages data. Additionally, the Solution Architect will have an active role in providing real-world feedback to product teams to enhance the product, testing new features before they are released, and championing new features within the sales team. The Solutions Architect provides both immediate and long-term impact with their technical knowledge and position of influence with prospects and customers. Key Responsibilities Serve as a subject matter expert on Rubrik s data protection and data security solutions, focused on database and cloud workloads. Act as a trusted advisor on assigned opportunities, aligning Rubrik s technology and roadmap with customer business objectives. Lead impactful product demonstrations, technical workshops, and solution presentations tailored for technical and executive-level audiences. Contribute to high-quality proposals, white papers, and responses to RFPs/RFIs. Collaborate with presales teams to design, execute, and troubleshoot proof-of-concepts (POCs), ensuring successful outcomes. Proactively identify technical challenges and architect creative solutions to overcome sales barriers. Translate complex customer requirements into clear, actionable technical strategies. Stay abreast of industry trends in data protection, security, database and cloud technologies, effectively positioning Rubrik s solutions. Evangelize Rubrik s offerings and clearly communicate strategic direction and product roadmap aligned with customer needs. Work closely with Product Management and Engineering to influence feature development based on customer feedback and market demands. Provide competitive intelligence and actionable insights from customer engagements to internal stakeholders. Qualifications 8+ years of successful experience in customer-facing technical sales or consulting roles focused on enterprise database technologies and cloud. Bachelor s Degree in Computer Science, Engineering, or equivalent experience. Deep technical expertise in two or more areas across database and cloud: Database focus: Primary: Oracle (Oracle Cloud, Data Guard, Golden Gate, Exadata, ExaCC) Secondary: MongoDB, Apache Cassandra, SQL Server, IBM DB2, Informix, PostgreSQL Multi-Cloud focus (Azure or AWS or GCP): Primary: AWS EC2, Azure VM, GCP Compute Engine, AWS S3, Azure Blob Secondary: Azure SQL and AWS RDS Proficiency in scripting languages such as Python, PowerShell, Go, or JavaScript. Excellent problem-solving capabilities, able to troubleshoot complex technical issues and deliver scalable solutions. Experience conducting benchmarks and performance testing on enterprise systems (preferred). Demonstrated sales acumen, capable of articulating technical value to C-level executives and technical audiences including database administrators. Strong cross-functional collaboration skills with sales, engineering, and product management. Exceptional communication skills, including compelling presentations and clear, concise writing. Proven experience with data center hardware/software, cloud platforms, data security solutions, IaaS, PaaS, or hypervisor software. Self-motivated and results-driven, comfortable working remotely with a high degree of autonomy. Willingness to travel approximately 20%-50% of the time. #LF-SF1 Join Us in Securing the World's Data Rubrik (NYSE: RBRK) is on a mission to secure the world s data. With Zero Trust Data Security , we help organizations achieve business resilience against cyberattacks, malicious insiders, and operational disruptions. Rubrik Security Cloud, powered by machine learning, secures data across enterprise, cloud, and SaaS applications. We help organizations uphold data integrity, deliver data availability that withstands adverse conditions, continuously monitor data risks and threats, and restore businesses with their data when infrastructure is attacked. Qualification : Bachelors degree or equivalent practical experience.

Systems Development Engineer Google Cloud Location: Bengaluru, Karnataka, India Company: Google Minimum Qualifications Bachelor s degree in Computer Science, Information Technology, or a related field; or equivalent practical experience. 2+ years of experience with systems automation. 2+ years of experience in technical infrastructure (e.g., deployment, maintenance, troubleshooting). Preferred Qualifications 3+ years of experience in systems design and implementation. About the Role As a Systems Development Engineer (SDE) at Google Cloud, you will be part of a team responsible for managing and scaling critical services and infrastructure. This role emphasizes automation, reliability, and observability, using engineering practices to eliminate manual toil and improve system efficiency. Google SDEs design and build the tools and systems that power the infrastructure for Google s services, transforming telemetry into actionable insights and proactively solving operational challenges. You ll have the opportunity to work on impactful, large-scale projects in an environment that fosters learning, collaboration, and growth. Key Responsibilities Participate in on-call rotations and incident response, managing services within your domain. Troubleshoot infrastructure and system issues, evaluate diagnostic data, and recommend solutions. Resolve tickets and bugs within defined service-level objectives (SLOs). Collaborate with primary responders to maintain high availability and reliability of systems. Contribute to the design and implementation of systems and services in related domains. Work directly with customers to gather requirements, define distributed system needs, and propose solutions. Develop automation tools and systems to improve efficiency and reduce operational overhead. About Google Cloud Google Cloud helps organizations transform their business with advanced technologies and enterprise-grade solutions. With a focus on sustainability, innovation, and scalability, Google Cloud serves customers in over 200 countries and territories, providing the tools and infrastructure necessary to solve the world s most complex business challenges. Qualification : Bachelor's degree in Computer Science or IT-related field, or equivalent practical experience.

Staff Software Engineer - Networking Location: Bengaluru, India Company: Databricks About Databricks Databricks powers the world s best data and AI infrastructure platform, enabling data teams to tackle critical problems from transportation innovation to medical breakthroughs. Our platform unifies data, analytics, and AI for over 10,000 organizations worldwide, including more than half of the Fortune 500. Founded by the creators of Apache Spark , Delta Lake, and MLflow, Databricks is headquartered in San Francisco with global offices. Role Overview As a founding member of our new Networking Infrastructure team in Bengaluru, you will design and develop backend connectivity services that power millions of VMs running on Databricks. This platform connects our control plane to the compute plane, enhancing scalability and optimizing cloud resource usage. You ll collaborate closely with product management, operations, and engineering teams to deliver robust, scalable, and efficient networking solutions. This is an exciting hands-on leadership role for an experienced engineer passionate about multi-cloud and distributed systems challenges. What You ll Do Lead design and development of new networking services powering connectivity between control and compute planes. Build scalable backend connectivity systems supporting millions of virtual machines. Collaborate cross-functionally with product, operations, and engineering teams. Solve complex multi-cloud and distributed systems problems in a fast-paced environment. Contribute to setting up and growing the Bengaluru networking team from scratch. What We Look For 12+ years of production software engineering experience in Python, Java, Scala, C++, or similar. 7+ years building large-scale distributed systems from the ground up. Extensive experience in networking domain and SaaS platforms or Service-Oriented Architectures. Strong leadership and hands-on engineering skills. Passion for solving novel challenges in multi-cloud networking and distributed systems. Benefits Comprehensive benefits package tailored to employee needs. Inclusive and diverse workplace committed to equal opportunity for all. Diversity & Inclusion Databricks is dedicated to fostering a diverse and inclusive culture where all employees can thrive. We uphold equal employment opportunities without regard to age, race, gender, ethnicity, disability, religion, sexual orientation, veteran status, or any other protected characteristic.

Lead DevOps Engineer Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is revolutionizing the world of service intelligence. Backed by top-tier venture capitalists in Silicon Valley and a distinguished group of angel investors, we are recognized as a startup to watch. Our platform enables enterprises to make accurate service decisions at scale by delivering service predictions in seconds through the analysis of both structured and unstructured data. At Neuron7.ai, you will be part of a dynamic and innovative team that is pushing the boundaries of service intelligence. We value creativity, collaboration, and a relentless commitment to innovation. This is your opportunity to make a meaningful impact on cutting-edge products at scale, in a fast-growing startup environment. About the Team Join a passionate team of professionals focused on optimizing our infrastructure, deployment processes, and overall system performance. We foster a culture of continuous improvement, where every team member is encouraged to contribute ideas and drive impactful projects. As a Lead DevOps Engineer, you will play a pivotal role in shaping the evolution of our infrastructure and operational efficiency. What You ll Do: CI/CD Pipelines: Lead the design, implementation, and management of CI/CD pipelines to automate and streamline deployment processes. Collaboration: Work closely with software development and IT teams to enhance workflows and ensure efficient release cycles. System Monitoring: Monitor and troubleshoot system performance to ensure high availability and reliability of applications across environments. Cloud Infrastructure: Architect and manage cloud infrastructure (AWS, Azure, GCP) for scalable, secure, and performant application environments. Automation: Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar technologies. Security & Compliance: Conduct regular system audits, implement security best practices, and ensure compliance with industry standards. Mentorship: Mentor and guide junior DevOps engineers, fostering a collaborative, knowledge-sharing, and growth-focused environment. Documentation: Document processes, configurations, and standard operating procedures to enhance team efficiency and maintain operational excellence. What We re Looking For: Experience: 8+ years of experience in DevOps engineering or a related field. Cloud Expertise: Extensive knowledge and hands-on experience with cloud platforms (AWS, Azure, GCP) and associated services (EC2, S3, Lambda, etc.). Containerization: Strong experience with containerization technologies such as Docker and Kubernetes for managing microservices. Automation Skills: Proficiency in scripting languages (Python, Bash, Ruby) for automation tasks and infrastructure-as-code management. Monitoring & Logging: Familiarity with monitoring and logging tools such as Prometheus, Grafana, and the ELK stack. Problem-Solving: Excellent problem-solving skills with a proactive, solutions-oriented mindset for resolving operational challenges. Collaboration: Strong communication skills with the ability to work collaboratively across teams and influence operational best practices. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to use advanced AI technology to improve service decision-making and we are committed to delivering excellence in all aspects of our work. Company Perks & Benefits: Competitive salary, equity, and spot bonuses Paid sick leave Latest MacBook Pro for your work Comprehensive health insurance Paid parental leave Work from home or from our vibrant Bengaluru office with flexible work arrangements Our Commitment to Diversity and Inclusion: Neuron7.ai is committed to fostering a diverse and inclusive workplace. We ensure equal employment opportunities without discrimination based on race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, marital status, or any other characteristic protected by law. If you re passionate about optimizing deployment processes, improving infrastructure, and driving operational excellence, we d love to hear from you!

Lead Cloud Engineer HPC (High Performance Computing) Location: Bengaluru, India Company: Chevron Experience Level: 5 10 Years Department: IT Cloud Engineering Work Mode: Hybrid (Global Operations Support) About the Role Chevron is seeking a Lead Cloud Engineer HPC to deliver next-generation High Performance Computing (HPC) infrastructure and application solutions. This position plays a key role in supporting compute-intensive workloads such as geophysics, reservoir simulations, AI/ML models, and parallel file systems, with a focus on cloud-native solutions and low-latency architectures. This role is ideal for someone experienced in cloud engineering, Linux system administration, and HPC architecture. Key Responsibilities Design, deploy, and support HPC environments for compute-intensive workloads. Configure and manage HPC job scheduling systems (e.g., Slurm, PBS). Implement and maintain parallel file systems such as Lustre. Manage Azure-based cloud infrastructure using VM Scale Sets. Collaborate with data scientists and developers to optimize infrastructure. Leverage Ansible, Satellite, and Python for automation. Optimize low-latency networks for distributed computing. Modernize HPC architecture with an eye on cost control and performance. Required Qualifications Bachelor s degree in Computer Science, Information Systems, or related field. 5 10 years of experience in: Linux system administration in a large-scale environment Microsoft Azure, including VM Scale Sets HPC job schedulers Slurm, PBS Parallel file systems Lustre Automation tools Ansible, Satellite, Python Supporting compute-heavy scientific/engineering applications Understanding of storage systems, networking, and performance tuning in HPC. Willingness to support global operations and participate in after-hours support. Preferred Skills Experience deploying HPC workloads in hybrid cloud environments. Familiarity with reservoir simulation or geophysical applications. Knowledge of security compliance and cost optimization in HPC/cloud. Working Hours Chevron supports global operations. Work hours may be aligned across international teams: Standard Work Days: Monday to Friday Shift Options: 8:00 AM 5:00 PM or 1:30 PM 10:30 PM IST Benefits & Perks Competitive compensation package Health, life, and accident insurance Flexible work schedule and hybrid options Professional development and certification support Work on cutting-edge HPC and AI infrastructure Equal Opportunity Employer Chevron is committed to a diverse and inclusive workforce. All qualified applicants will receive consideration without regard to race, gender, religion, sexual orientation, nationality, age, or disability. Chevron participates in E-Verify in applicable regions. Apply Now If you re passionate about building scalable HPC infrastructure in the cloud, apply now to join Chevron s Cloud Engineering team in Bengaluru. Qualification : Bachelors degree in Computer Science, Information Systems, or related field.