Deployments Jobs in Bengaluru

Staff Engineer Solutions Automation (NMS/SMx) Location: Bangalore Type: Full-Time Experience Required: 12+ Years (QA Lead/Architect level) Role Overview: Strategic Quality Leadership We are seeking a Staff Engineer to lead Solutions Test Automation for our next-generation Network Management System (SMx). This is a high-impact, strategic role requiring a deep mastery of networking protocols and modern GUI automation. You will drive complex automation projects, mentor junior engineers, and integrate AI-driven tools to redefine our testing methodologies and product reliability. Technical & Domain Expertise Networking & Fiber Optics: L2/L3 Protocols: Strong understanding of OSPF, BGP, ISIS, VLAN, and VRF. Protocol Mastery: Expert knowledge of Ethernet, TCP/IP, and SNMP. Telecom Infrastructure: Experience with fiber optics technology such as GPON and XGSPON is a significant advantage. Automation Stack: Frameworks: Proficiency in Robot Framework, PYART, and Playwright. GUI & API Testing: Extensive experience developing automated tests for complex enterprise GUI applications. Programming: Strong Python proficiency for script and framework development. DevOps Integration: Ability to integrate automated suites into CI/CD pipelines (Jenkins, GitLab) using Docker/Kubernetes. Key Responsibilities Leadership & Mentorship: Team Guidance: Mentor junior engineers, conduct rigorous code reviews, and foster a culture of technical excellence. Project Ownership: Drive the full automation lifecycle from strategy and environment planning to execution and results analysis. Innovation & Quality: AI-Driven Testing: Incorporate AI/ML tools (self-healing tests, visual validation) to enhance efficiency. Scenario Design: Leverage domain expertise to design realistic network topologies and simulate complex customer use cases. Continuous Improvement: Propose and implement enhancements in tools and methodologies to increase test coverage and reliability. Qualifications & Preferred Skills Experience: 12+ years in QA/Test Automation with a track record in progressively responsible leadership roles. Education: Bachelor s or Master s in Computer Science, Telecommunications, or a related field. Certifications (Preferred): CCNA, CCNP, or ISTQB Advanced Test Manager. Industry Context: Prior experience with NMS/EMS products (e.g., Calix AXOS, Cisco Prime) or OSS/BSS systems is a major plus. Soft Skills for Success Communication: Ability to explain complex technical networking concepts to non-technical stakeholders. Proactiveness: Staying updated on the latest industry trends and experimenting with new tools. Collaboration: A team player comfortable working in a hybrid environment with global teams. Qualification : Bachelors or Masters in Computer Science, Telecommunications, or a related field

Engineering Manager Location: Bengaluru Hiring is still shaped by outdated processes manual screening, unconscious bias, and delayed feedback. Talview is transforming this with AI that actually works. We build GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent global exam monitoring. Ivy: A conversational AI Interviewer delivering unbiased first-round assessments. Impact: 10M+ assessments delivered across 120+ countries. The Role We re looking for an Engineering Manager to lead high-performing teams, drive architectural excellence, and deliver scalable products globally. You ll guide engineers across backend, frontend, QA, and DevOps, while partnering closely with Product and Design to drive meaningful outcomes. What You ll Do Leadership: Lead, mentor, and grow cross-functional engineering teams. Architecture: Own architecture and system design for cloud-native, distributed systems. Excellence: Champion code reviews, testing, automation, and security practices. Operations: Strengthen engineering processes including CI/CD, observability, and monitoring. Delivery: Own delivery outcomes, sprint planning, and team performance. People: Conduct 1:1s, performance reviews, and career development planning. You Might Be a Fit If You Have Required Qualifications: 6+ years of overall engineering experience; 5+ years in backend (Node.js, Go, or Python). 2+ years with Docker, Kubernetes, and public cloud platforms (AWS, GCP, or Azure). 2+ years in Agile delivery environments (Scrum, Squads, or Chapters). 1+ year experience managing a team of 4+ engineers. Deep understanding of cloud monitoring, deployments, and cost optimization. Bonus Points For: Building SaaS or high-scale distributed systems. Experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Strong system design and architectural fundamentals. Our Culture: The 5Cs We are guided by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We work together, ship quality, and communicate openly. What You Get Competitive compensation and best-in-class hardware. 5-day work week with flexibility. Monthly team lunches and annual offsites. Accelerated growth in a fast-scaling product organization.

Talent Acquisition Partner 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 and 350+ deployments. Our platform unifies orders, capacity, and carrier networks into a single living plan aligning planning, execution, and settlement so promises become proof. In 2025, Locus joined the Ingka Group (IKEA Retail), combining startup agility with the scale and stability of a global enterprise while continuing to operate independently. Our Global Footprint Headquartered in Bangalore, with teams across the U.S., U.K., UAE, and Southeast Asia, Locus brings together 170+ engineers, designers, and problem-solvers united by a shared mission to reinvent how the world moves goods. What We Value Global in mindset: Curious about diverse markets and ideas Driven: Energized by complex challenges Thoughtful: Analytical, creative, and intentional Adaptive: Decisive in fast-moving environments Exact in craft: Detail-oriented and committed to excellence Role Overview As a Talent Acquisition Partner at Locus, you won t just fill roles you ll help build the teams that shape our technology and culture. You ll own end-to-end hiring across critical roles and continuously experiment with sourcing strategies to strengthen Locus s employer brand in the tech ecosystem. What You ll Do Full-Cycle Hiring: Own recruitment for tech roles across Engineering, Product, Data, and related functions. Innovative Sourcing: Design strategies beyond traditional channels, leveraging communities, referrals, and creative outreach. Stakeholder Partnership: Partner closely with hiring managers to define clear hiring criteria and team needs. Candidate Experience: Deliver a seamless, human, and transparent experience for all candidates. Data & Branding: Experiment with new campaigns to increase brand visibility and analyze metrics to improve hiring quality. What You Bring 3 6 years of experience in tech hiring, preferably in a product startup or high-growth environment. Sourcing Instincts: Creativity in identifying and engaging passive talent. Storytelling: Excellent communication skills to sell a vision, not just a role. Technical Tools: Hands-on experience with ATS tools (Freshteam experience is a plus). Adaptability: High ownership and the ability to thrive in a fast-paced environment. Why You ll Love It Here You will play a direct role in shaping the future of Locus by hiring mission-critical talent within a flat structure that values autonomy, experimentation, and speed.

Systems Engineer Pre-Sales Location: Bangalore Job Category: Systems Engineering Job Schedule: Full-Time Company Overview Join Fortinet, a global cybersecurity leader dedicated to safeguarding people, devices, and data everywhere. We are seeking a Systems Engineer to join our pre-sales team and contribute to enterprise customer success across India. Role Overview As a Pre-Sales Systems Engineer, you will act as a technical consultant to sales representatives, providing expertise throughout the pre-sales, sales, and post-sales stages. You will be instrumental in designing solutions, demonstrating capabilities, and ensuring successful deployments of Fortinet products. Key Responsibilities Pre-Sales Strategy: Qualify leads from a technical perspective, participate in pre-bid meetings, and respond to RFPs. Technical Resource: Serve as the lead technical contact during sales calls and deliver Proof-of-Concepts (POCs) and product demonstrations. Post-Sales & Documentation: Act as the primary technical contact for assigned accounts and maintain detailed documentation for customer solutions and workflows. Partner Enablement: Train and provide technical guidance to channel partners to enhance their capabilities. Advisory: Develop presentations, case studies, and white papers to clearly articulate Fortinet s value proposition. Required Skills & Experience Professional Background: 10+ years of experience in technical/pre-sales support as a sales or systems engineer. Hands-on Expertise: 5 7 years of experience in networking and security solutions. Domain Knowledge: Strong understanding of SD-WAN, SDN, cloud security, virtualization, and NFV. Industry Experience: Experience in OEM environments is preferred. Soft Skills: Excellent presentation, communication, and stakeholder management skills. Global Impact: Contribute to solutions impacting 660,000+ customers worldwide. Rewards: Competitive Total Rewards package supporting health and financial well-being. Culture: A supportive environment that values diverse backgrounds and perspectives.

Director Customer Success & Support Location: Bangalore | Employment Type: Full-Time | Experience: 15+ Years About SecPod SecPod is a leading cybersecurity technology company dedicated to preventing cyberattacks through proactive security. Our core offering, the Saner Platform, helps organizations establish a strong security posture through preventive, automated, and intelligent cybersecurity solutions. Role Summary The Director of Customer Success & Support will own the post-sales customer journey, including onboarding, technical adoption, value realization, and retention. This role requires a technically strong leader with deep experience in cybersecurity or enterprise security SaaS products to lead CSMs, Onboarding Specialists, and Support Engineers. Key Responsibilities Customer Onboarding & Time-to-Value Lead onboarding programs for both Cloud/SaaS and On-Prem deployments. Standardize deployment and configuration procedures for rapid time-to-value. Collaborate with Product and Engineering to enhance the user onboarding experience. Technical Support & Escalation Management Lead Saner Platform Support operations and own critical KPIs: FRT, MTTR, CSAT, and backlog. Oversee Root-Cause Analysis (RCA) and Corrective/Preventive Actions (CAPA). Manage 24x7 support coverage and track feature requests and bugs with Product Management. Customer Success & Value Realization Own customer retention, renewal, and expansion outcomes. Develop success playbooks and adoption frameworks aligned with client security objectives. Conduct Executive Business Reviews (EBRs) and implement proactive churn recovery strategies. Team Leadership Scale and mentor a high-performance organization focused on customer empathy and accountability. Drive continuous upskilling in cybersecurity and SecPod product architecture. Required Experience & Skills Experience: 15+ years in Customer Success or Technical Support for cybersecurity/enterprise SaaS. Technical Proficiency: Strong knowledge of IT infrastructure, endpoint security, and Linux/Unix/Windows/Mac systems. Systems Knowledge: Experience with Zendesk, HubSpot, and Salesforce. Bonus Skills: Scripting (PowerShell/Python) and cybersecurity certifications. Education: BE / MCA or equivalent technical degree. Qualification : BE / MCA or equivalent technical degree

Senior QA Engineer - AI-Powered Observability Platform Location: Bengaluru Experience: 6 10 years About VuNet VuNet is at the forefront of Business Journey Observability, revolutionizing the financial services industry with Big Data and Machine Learning. Our deep-tech platform provides comprehensive visibility into customer journeys, enabling proactive issue resolution, operational resilience, and superior user experiences. We monitor over 28 billion digital transactions monthly, serving 300 million users globally, and we re powering some of the largest banks and financial institutions in India and MEA. VuNet is Series B funded, part of NASSCOM s DeepTech Club, and recognized by analysts like Gartner and Omdia. Your Role: Senior QA Engineer - AI-Powered Observability Platform As a Senior QA Engineer at VuNet, you ll play a crucial role in ensuring the quality and reliability of our VuSmartMaps Observability Platform. You ll lead the design and implementation of cutting-edge test automation, performance validation, and reliability frameworks across distributed systems that handle billions of telemetry events. Working closely with development, operations, and QA teams, you will drive quality across the entire platform and play a key role in ensuring that our systems are scalable, resilient, and performant. Roles & Responsibilities Quality Strategy Ownership: Own the end-to-end quality strategy for observability platform components (metrics, logs, tracing, alerting, dashboards, MLOps). Automated Testing: Build and maintain automated test suites for data pipelines, APIs, and integration flows involving tools like Prometheus, Grafana, Loki, Elastic, and OpenTelemetry. Performance Validation: Design and execute tests to validate high-throughput, distributed systems under real-world load conditions, ensuring performance benchmarks are met. Test Frameworks Development: Develop and maintain test frameworks and tools using Python, Go, Bash, pytest, k6, Playwright, and others. System Reliability & Alerting: Define and implement test coverage for system reliability, alerting accuracy, and visualization correctness. Collaboration: Partner with developers, SREs, and DevOps teams to shift quality left in the development lifecycle, contributing to CI/CD pipelines and automation workflows using GitOps tools. Automation Integration: Integrate automated test suites into smoke, functional, and regression pipelines using Jenkins, Spinnaker, and other CI/CD tools. Mentorship: Mentor junior QA engineers, establish best practices, and ensure consistency in the QA discipline across the team. What You Bring Mandatory Skills: Experience: Minimum 6+ years in software quality engineering, with a focus on automated testing, performance, and reliability. Scripting/Programming: Proficiency in at least one scripting or programming language (JavaScript, Python, Go). CI/CD Systems: Experience with CI/CD systems such as GitHub Actions, Jenkins, or ArgoCD. Debugging Skills: Excellent debugging skills and the ability to analyze code quality and system performance. Distributed Systems Knowledge: Familiarity with Kafka, Kafka Streams, ClickHouse DB, and distributed systems. Kubernetes & Microservices: Strong experience testing Kubernetes-native systems, Helm deployments, and microservices. Observability Tools: Knowledge of observability tools like Prometheus, Grafana, Elastic Stack, OpenTelemetry, Loki, or Jaeger. Tooling & Deployment: Proficiency in Jenkins, Spinnaker, GitOps, Kubernetes, and Docker. Testing Experience: Hands-on experience in various types of testing (functional, performance, load, etc.) and knowledge of testing tools. Documentation Skills: Ability to create clear documentation (e.g., release notes, troubleshooting guides, and migration guides). Nice-to-Have Skills: Performance Testing: Experience designing and executing performance and load testing for high-traffic applications. Web Services & Systems Design: Understanding of web services and distributed systems architecture. Cross-Functional Communication: Excellent communication skills with the ability to coordinate across multiple teams. Life at VuNet: At VuNet, we re building a world-class observability platform proudly Made in India and we re just getting started. Join a passionate team of problem-solvers who love tackling complex challenges and stay ahead of the curve with technologies like Gen AI. We offer an environment where collaboration, innovation, and learning are at the core of everything we do. You ll have the opportunity to work on cutting-edge technologies and make a real impact on a product that powers leading banks and financial institutions globally. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness support and 1:1 counseling. A learning culture that promotes growth, innovation, and ownership. Transparent, inclusive, and high-trust workplace culture. Exposure to Gen AI and integrated technology workspaces. Support for career development with various training programs to enhance your skills and expertise.

Senior Data Engineer Enterprise Data Platform Location: Bengaluru Department: Business Technology Data Engineering Experience: 5+ Years Employment Type: Full-Time About Okta Okta is The World s Identity Company. We empower people to securely use any technology, anywhere, on any device. Through our Okta and Auth0 platforms, we provide secure access, authentication, and automation placing identity at the center of security and growth for thousands of organizations. We value diverse perspectives and lifelong learners. We re not looking for someone who checks every box we re looking for someone who will make us better with their unique experiences. Team: Business Technology Data Engineering The Data Engineering team at Okta supports cross-functional partners by building scalable, secure, and high-performing platforms. These platforms power decision-making and business processes across sales, marketing, engineering, finance, product, and operations. As part of this team, you ll contribute to data solutions that fuel Okta s hyper-growth. You will have the opportunity to work with cutting-edge technologies in cloud infrastructure, data lakes, automation, and CI/CD pipelines. The Role: Senior Data Engineer As a Senior Data Engineer, you will design, build, and manage modern data pipelines, infrastructure, and automation frameworks. You ll help scale our enterprise data platform using tools such as Snowflake, dbt, Airflow, Databricks, and AWS, while ensuring security, observability, and performance. You ll also contribute to CI/CD pipelines, infrastructure as code (IaC), and secure development lifecycle practices, enabling consistent, efficient, and secure delivery of data solutions. Key Responsibilities Platform Development & Infrastructure Design and maintain scalable data pipelines and platforms using Snowflake, AWS, Databricks, dbt, and Airflow. Manage infrastructure with Terraform, enabling repeatable and consistent deployments. Develop and maintain robust CI/CD pipelines using GitHub Actions, GitLab, or Jenkins. Containerize data services using Docker for better scalability and portability. Security & Compliance Implement and enforce secure development lifecycle practices, integrating tools like DAST, SAST, SCA, and Secret Scanning into pipelines. Conduct vulnerability scanning and apply patches to ensure system integrity. Ensure data security and compliance with industry standards and regulations. Collaboration & Innovation Collaborate with data engineers, data scientists, and analysts across business units to ensure data availability and integrity. Identify opportunities for automation and optimization within the data platform. Stay updated on emerging technologies and drive adoption of best practices. Must-Have Skills Bachelor s degree in Computer Science, Engineering, or a related technical field. 5+ years of experience in data engineering, including: Advanced SQL and ETL development with Airflow and dbt. Experience with data warehouses such as Snowflake, Redshift, or BigQuery. Strong hands-on experience with AWS (S3, Lambda, EC2, EMR, EKS). 2+ years of experience managing CI/CD pipelines using tools like GitHub Actions, GitLab, Jenkins, or ArgoCD. Experience with Terraform and Docker. Proficiency in backend languages such as Python, Java, or Go. Preferred Skills Experience with lakehouse architectures like Databricks, including knowledge of Delta Lake and Apache Iceberg. Background in infrastructure security, vulnerability management, and observability tooling. High Impact: Help build and scale the data platform that powers Okta s global business. Cutting-Edge Stack: Work with best-in-class technologies like AWS, Snowflake, dbt, Terraform, and Databricks. Collaborative Culture: Join a diverse, inclusive, and globally distributed team that values knowledge sharing and continuous learning. Career Growth: Shape the future of Okta s data engineering practice while expanding your technical and leadership skills. Bring your passion for data, cloud, and automation and let s shape the future of secure, scalable enterprise data platforms together. Qualification : Bachelors degree in Computer Science, Engineering, or a related technical field

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

Manager Custody Experience: 3 7 years Location: Bengaluru Team: Operations & Risk About CoinDCX At CoinDCX, we believe Change Starts Together. Our mission is to make Web3 and digital assets more accessible, secure, and user-friendly for everyone. In just six years, we've grown from India s first crypto unicorn to a leading platform with over 125 million users. As we continue to scale our impact, we re building the next generation of secure, scalable, and compliant Web3 infrastructure and we want you to be part of it. About the Role As Manager Custody, you will be responsible for overseeing digital asset custody operations, ensuring optimal deployment on Earn products, maintaining comprehensive risk monitoring, and aligning with regulatory compliance standards. This role is critical to safeguarding assets, improving operational efficiency, and scaling our Earn offerings in a rapidly evolving regulatory and technical landscape. Key Responsibilities 1. Token Deployment & Custody Operations Ensure 100% deployment of tokens across the Earn platform. Develop and execute token allocation strategies for staking, liquidity pools, and other avenues. Liaise with trading and portfolio management teams to identify deployment opportunities. Maintain accurate custody records and ensure timely, reliable disbursals. Create investment memos (IMs) for Earn deployments and work with the risk committee for approvals. Establish and maintain SOPs for custody and Earn operations. 2. Risk Monitoring & Incident Management Design and maintain a comprehensive risk monitoring framework with full coverage. Monitor for operational, technical, and counterparty risks in real-time. Conduct risk assessments for new deployments and token integrations. Manage incident response and ensure resolution of custody-related risk events within 24 hours. Deliver periodic risk reports to internal stakeholders and leadership. 3. Operational Excellence & Compliance Manage day-to-day custody operations in line with regulatory and internal policies. Interface with external custodians, service providers, and compliance bodies. Implement continuous improvement initiatives to drive process efficiency and accuracy. Ensure full documentation and audit readiness for all custody activities. 4. Cross-functional Collaboration Partner with Technology, Product, Compliance, and Risk teams to drive system improvements. Contribute to enhancements of Earn products from an operational and security standpoint. Support regulatory and audit processes through timely reporting and coordination. Performance Metrics 100% Token Deployment on Earn products 100% Risk Monitoring coverage Deployment Efficiency Ratio (actual vs. target) Risk Event Resolution Time (

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

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

Job Title: Circle Head Wireline Deployment Location: Bangalore Function: Network Wireline Homes Deployment Employee Type: Full-Time Experience Required: 12 to 15 Years Purpose of the Role The Circle Head Wireline Deployment is responsible for end-to-end execution of fiber rollout and transmission ISP implementation to meet internal and external bandwidth demands. The role ensures robust and scalable network deployment to support business growth across Mobility, FTTH, FTTB, and B2B services. This includes managing multi-functional teams, vendor operations, digitization tools, and government clearances for fiber infrastructure development. Key Responsibilities Fiber Rollout & Network Implementation Oversee the execution of fiber rollout projects (Intercity/Intra-city, FTTH, NLD, LMC) with a focus on quality, timeliness, and compliance. Ensure successful delivery of Home-passes and LM fiber for business segments such as FTTH, B2B, and Mobility. Drive 100% Acceptance Testing (AT) for deployed fiber kilometers/LMs. Network Infrastructure & Optimization Lead the implementation and capacity expansion of critical network elements (Core/Collector/OLT) as per transmission plans. Ensure alignment of new deployments with customer bandwidth needs and long-term scalability. Vendor & Program Management Manage vendor performance, coordinate execution plans, and ensure delivery against project timelines. Optimize material consumption and reduce inventory with effective coordination between SCM, stores, and implementation partners. Regulatory Compliance (ROW) Facilitate Right of Way (ROW) permissions through liaison with government authorities and partners. Validate and process commercial payments, track security deposits, and ensure proper documentation and recovery. Digitization & Process Enhancement Drive the adoption and integration of tools like Fiber Force App and GIS systems for real-time fiber tracking, monitoring, and data reporting. Set KPIs and performance metrics to ensure visibility, accountability, and continuous improvement. Stakeholder Management Build and maintain collaborative relationships with cross-functional teams (Planning, NOC, Marketing, Mobility, FTTH Planning, etc.) to ensure seamless network deployment. Act as a key liaison for internal teams and external stakeholders to facilitate project success. Qualifications & Experience Educational Qualification: B.E./B.Tech in Electronics, Telecommunications, or relevant engineering stream. Experience: 12 15 years of proven experience in OSP/ISP deployment within Transport, FTTH, and MPLS Networks. Project Management: Must have handled large-scale fiber deployment projects with team and vendor oversight. Key Competencies Deep understanding of telecom infrastructure and deployment models. Strong leadership with team motivation, decision-making, and vendor management skills. Excellent communication and interpersonal skills to influence stakeholders and resolve field-level challenges. Proficiency in handling digital monitoring tools and driving operational digitization. Qualification : B.E./B.Tech in Electronics, Telecommunications, or relevant engineering stream

Position: Senior Data Scientist LLM Location: Bangalore, Karnataka, India Type: Full-Time (On-site) Experience Required: 2+ years in Deep Learning, 1+ years in LLMs Industry: Healthcare AI Company Overview: 5C Network is pioneering multi-modal AI systems for autonomous diagnosis in medical imaging. We're building next-generation models that integrate deep learning with language understanding to revolutionize clinical workflows and diagnostic accuracy. Role Summary: As a Senior Data Scientist LLM, you will lead the development and deployment of Large Language Models (LLMs) focused on enhancing medical imaging diagnostics. You ll work on cutting-edge problems such as instruction fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG), while ensuring scalability and robustness in production environments. Key Responsibilities: LLM Development & Fine-Tuning Design and optimize prompts for diverse clinical and imaging-related use cases. Perform instruction fine-tuning of LLMs to meet task-specific requirements. Develop reasoning pipelines including Chain of Thought (CoT) techniques for complex diagnostic workflows. LLM Deployment & Optimization Self-host and deploy LLMs in secure, scalable production environments. Apply quantization and other performance optimization methods to minimize compute and memory footprint. Ensure high performance, uptime, and security in AI deployments. Retrieval-Augmented Generation (RAG) & Vector Databases Develop and implement RAG pipelines by integrating LLMs with semantic search. Work with vector databases (e.g., Qdrant) to enable fast, efficient retrieval of contextual data. Optimize data storage, indexing, and retrieval to support clinical applications. Data Engineering & Annotation Build and manage high-quality datasets tailored for CoT and multi-step reasoning tasks. Lead data annotation efforts to enhance LLM understanding of medical contexts. Collaboration & Research Collaborate with researchers, ML engineers, and domain experts to bring LLM solutions from prototype to product. Stay ahead of the curve by experimenting with novel LLM architectures and emerging techniques. Qualifications: Bachelor's or Master s degree in Computer Science, Data Science, AI, or a related field. 2+ years of hands-on experience in deep learning. Minimum 1 year of experience working with LLMs (e.g., instruction tuning, prompt engineering, RAG). Prior experience in LLM deployment (self-hosting, optimization, quantization, scaling). Proficient in Python and common ML frameworks (e.g., PyTorch, Hugging Face Transformers). Familiarity with vector databases like Qdrant or similar. Strong interest or prior exposure to healthcare/medical AI. Excellent problem-solving, communication, and team collaboration skills. Technical Stack: Languages: Python Frameworks: PyTorch, Hugging Face Technologies: LLMs (e.g., GPT, LLaMA), Vector Databases (Qdrant), RAG, Quantization Tools: Docker, Kubernetes, REST APIs, Git Work on high-impact AI solutions in the healthcare domain. Collaborate with a team at the forefront of multi-modal diagnostic technology. Access cutting-edge tools and real-world data to drive innovation. Qualification : Bachelor's or Masters degree in Computer Science, Data Science, AI, 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.

Job Title: Lead Product Engineer Location: Bengaluru, Karnataka, India Department: Product Engineering Experience: 6 10 years About TheMathCompany TheMathCompany (MathCo ) is a global Enterprise AI and analytics firm helping Fortune 500 and Global 2000 organizations drive better decision-making through custom-built AI solutions. With our proprietary platform NucliOS, we power scalable, reusable, and intelligent products that accelerate digital transformation across industries. At MathCo, we empower our engineers to innovate, take ownership, and work on cutting-edge enterprise-grade products from scratch. If you re passionate about full-stack product development and thrive in a dynamic, high-impact environment, we d love to talk to you. About the Role As a Lead Product Engineer, you will be responsible for the architecture, development, and deployment of full-stack applications that are critical to our enterprise clients success. You ll lead a cross-functional team and work closely with product managers, designers, and data scientists to deliver high-performance solutions that scale and transform. This role combines hands-on coding, system architecture, and team leadership, and is ideal for engineers looking to make a direct impact on product direction and execution. Key Responsibilities 1. Full Stack Development Build and maintain RESTful APIs and microservices using languages like Python or Node.js. Design and develop scalable and maintainable UI components using modern front-end frameworks (e.g., React, Vue, Angular). Architect and manage application databases (SQL & NoSQL). Integrate with authentication/authorization protocols (e.g., OAuth2, OIDC, SAML). Participate in the full product lifecycle from ideation and development to deployment and support. 2. Product Development & Collaboration Translate business requirements into technical solutions in collaboration with product managers and designers. Provide technical leadership and guidance to the development team. Optimize systems for performance, scalability, and reliability. 3. Code Quality & Testing Write clean, efficient, well-documented code following best practices and industry standards. Conduct and participate in code reviews. Develop and maintain automated test frameworks; ensure unit, integration, and end-to-end testing coverage. Oversee CI/CD pipelines and manage cloud-based deployments. Must-Have Technical Skills 6 10 years of experience in full-stack development and system design. Proficiency in backend languages like Python, Node.js (bonus: Rust, Go). Strong front-end experience with HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js. Expertise in REST APIs, microservices, and database design (ER modeling, data flow, API integration). Hands-on with PostgreSQL, MySQL, MongoDB, or similar. Experience deploying applications on cloud platforms (AWS, Azure, GCP). Familiarity with Docker, Kubernetes, and infrastructure tools like Terraform, CloudWatch. Version control and DevOps experience with GitHub, Azure DevOps, and CI/CD pipelines. Non-Technical & Soft Skills Strong knowledge of Agile methodologies (SCRUM). Excellent problem-solving and debugging capabilities. Strong communication and collaboration skills across teams. Ability to manage multiple projects in a fast-paced environment. Work with some of the best minds in data science, engineering, and AI. Drive high-impact product development used by Fortune 500 companies. Be part of a flat, inclusive, and innovation-driven workplace culture. Access to cutting-edge tools, custom-built platforms, and rapid experimentation. Apply now and help build world-class AI-driven solutions with MathCo.

Job Title: Senior AI Engineer Location: Bengaluru, Karnataka, India Department: GenAI Experience: 4.5 to 7 years Open Positions: 5 About the Role As a Senior AI Engineer, you will design, build, and maintain scalable AI solutions with a strong focus on Generative AI technologies such as large language models (LLMs), embeddings, and retrieval techniques. You will lead a team of AI engineers and collaborate with stakeholders to deliver impactful AI-driven products aligned with business goals. Your role includes mentoring, project planning, ensuring data quality, and driving continuous process improvements. Key Responsibilities Design, develop, and deploy scalable AI/ML solutions, specializing in advanced Generative AI (LLMs, embeddings, retrieval-augmented generation, prompt engineering). Lead, mentor, and develop a team of AI engineers in a collaborative, inclusive environment. Coordinate with stakeholders to gather requirements, prioritize tasks, and define project timelines. Ensure projects align with overall business objectives and data strategies. Oversee data quality, integrity, and security in AI engineering projects. Build reusable frameworks to enhance the efficiency and scalability of AI systems. Manage client communications to translate requirements into technical outcomes. Identify skill gaps and create opportunities for professional development. Drive initiatives for improving data operations and AI delivery efficiency. Required Technical Skills 4.5 to 7 years of experience developing and deploying scalable AI/ML solutions. Strong expertise in data modeling, relational and NoSQL databases, software development lifecycle, unit testing, and functional programming. Proficient in designing and implementing advanced Generative AI solutions including LLMs, embeddings, retrieval techniques, and prompt engineering. Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems. Proficiency with Databricks workflows, including job and cluster management, and API usage. Solid understanding of data structures, algorithms, multiprocessing, and optimization techniques. Skilled in Python libraries such as Pandas, NumPy, FastAPI for data processing and API development. Expertise in SQL optimization and database schema design. Experience deploying AI models using Docker and Kubernetes. Familiarity with version control using GitHub. Hands-on experience with cloud platforms like Azure, AWS, or GCP for AI deployments. Optional experience with PySpark for data processing. Basic understanding of CI/CD pipelines and deployment best practices. Required Non-Technical Skills Strong problem-solving ability with financial impact awareness in both team management and solution delivery. Excellent verbal and written communication skills, comfortable interacting with mid-level client management. Ability to balance pragmatic solutions versus perfect outcomes and rally teams accordingly. Strong interpersonal skills including conflict resolution, empathy, negotiation, and active listening. Demonstrated leadership and mentorship capabilities. Self-motivated with a strong sense of ownership. Good to Have Familiarity with data visualization tools and techniques. Understanding of data security, privacy, governance, and compliance frameworks. Experience with graph databases and graph processing frameworks. Knowledge of data virtualization and federation methods. Skills in data profiling and data quality management. Education Bachelor s degree in Engineering, Computer Science, or a related field. Qualification : Bachelors degree in Engineering, Computer Science, or a related field.

Job Title: IT Manager Location: Bangalore, India Experience: 12-15 Years Employment Type: Full-Time Role Overview: We are seeking a seasoned IT Manager with strong technical expertise and proven experience in managing IT infrastructure projects. The ideal candidate will lead data center migrations, cloud initiatives, networking, and enterprise infrastructure, ensuring robust, secure, and scalable IT operations. Key Responsibilities: Manage end-to-end IT infrastructure projects including data center migrations, cloud deployments (AWS, Azure, GCP), and networking upgrades. Oversee enterprise infrastructure ensuring high availability, security, and disaster recovery readiness. Lead cross-functional teams while coordinating multiple projects in fast-paced environments. Manage project budgets and implement cost control measures for large-scale infrastructure programs. Implement and adhere to best practices guided by ITIL, PMI, or PRINCE2 frameworks. Collaborate with cybersecurity teams to enforce security policies and controls. Utilize project management tools such as Jira, MS Project, and ServiceNow for effective tracking and reporting. Provide leadership and mentorship to technical teams, driving continuous improvement and operational excellence. Required Skills & Qualifications: 12-15 years of experience in IT infrastructure project management. Strong technical background in cloud platforms (AWS, Azure, GCP), data centers, networking, and enterprise systems. Solid knowledge of ITIL, PMI, or PRINCE2 frameworks. Proven experience in budget management and cost optimization. Deep understanding of cybersecurity principles, disaster recovery, and infrastructure resilience. Excellent communication, leadership, and stakeholder management skills. Hands-on experience with project tracking and service management tools like Jira, MS Project, ServiceNow, or equivalents. Preferred Qualifications: Certifications: PMP, ITIL, PRINCE2, AWS/Azure Cloud certifications (highly desirable). Experience with DevOps practices, automation, and Infrastructure as Code (IaC). Knowledge of hybrid cloud strategies and emerging infrastructure technologies.

AI-ML Architect Bangalore, India Location: Bangalore Experience: 10 to 15 Years Role: AI-ML Architect Industry: IT Software / Artificial Intelligence & Machine Learning Job Overview: We are seeking a highly experienced AI-ML Architect to lead the design and implementation of advanced AI and Machine Learning systems. The ideal candidate will have extensive expertise in deep learning frameworks, system-level optimization, and scalable infrastructure, driving innovation in AI across cloud and distributed environments. Key Responsibilities: Architect, develop, and optimize deep learning and neural network applications on Windows and Linux platforms Build, train, and fine-tune advanced AI/ML models using frameworks such as PyTorch, TensorFlow, and Caffe Optimize neural network performance at the kernel level for scalability across diverse hardware architectures Lead development and deployment of AI models using techniques like Reinforcement Learning, Transfer Learning, and Federated Learning Design and develop web services and REST APIs with strong proficiency in Python and C/C++ Automate AI/ML model deployment, management, and scaling using Docker, Kubernetes, and MLOps best practices Work with hardware acceleration technologies such as OpenVINO, OneAPI DPC++, OpenCL, and CUDA to enhance performance Design and implement microservices-based AI infrastructure supporting distributed cloud environments Collaborate with cross-functional teams to integrate AI solutions with enterprise cloud architectures Required Skills & Experience: 10+ years of experience in system software development on Windows or Linux Proven expertise with deep learning frameworks: PyTorch, TensorFlow, Caffe Strong background in Reinforcement Learning, Transfer Learning, and Federated Learning Proficient in Python and C/C++ programming Hands-on experience with RESTful API development Experience automating deployments using Docker, Kubernetes, and MLOps tools Knowledge of GPU and accelerator programming: OpenVINO, CUDA, OpenCL preferred Strong understanding of cloud and distributed computing infrastructures Experience adopting microservices architecture for scalable AI platforms Preferred Qualifications: Advanced degree in Computer Science, AI, Machine Learning, or related fields Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Experience in leading AI teams and mentoring architects and engineers Lead AI innovation on cutting-edge projects with global impact Collaborate in a high-growth, fast-paced environment fostering continuous learning Work with advanced AI infrastructure and state-of-the-art hardware acceleration technologies Opportunity to shape AI architecture and influence strategic technology decisions Qualification : Advanced degree in Computer Science, AI, Machine Learning, or related fields

Cloud Engineer Azure | Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT Software / Cloud Computing Job Summary: We are looking for a skilled Cloud Engineer with expertise in Microsoft Azure to manage, optimize, and support cloud infrastructure solutions. The ideal candidate will have hands-on experience administering Azure cloud environments, implementing security best practices, and automating cloud operations. Key Responsibilities: Administer and support public cloud infrastructure, with at least 2 years of experience in Azure cloud services Manage Azure Compute resources including App Services, Virtual Machines, and Azure Kubernetes Service (AKS) Handle Azure storage and database services such as SQL Database, Blob Storage, and configure Azure Networking components including Azure Firewall, VPN, Load Balancer, and Private Link Utilize Azure native management tools including Azure Blueprints, Azure Policy, Azure Monitor, and backup solutions Implement and monitor security tools such as Azure Security Center, Azure Sentinel, Azure Defender, and manage Azure Key Vault and Azure Active Directory (AAD) Drive automation and Infrastructure-as-Code (IaC) using Azure Automation, Azure DevOps, PowerShell DSC, and scripting languages Develop and maintain automation scripts using Python or PowerShell Collaborate within DevSecOps teams to ensure secure, scalable, and reliable cloud deployments Required Skills: Proven experience with Microsoft Azure cloud services Strong knowledge of Azure Compute, Storage, Database, and Networking services Experience with Azure security tools and best practices Familiarity with Infrastructure-as-Code (IaC) tools and automation frameworks Proficiency in at least one scripting language such as Python or PowerShell Good understanding of cloud security and compliance standards Azure certifications (AZ-104, AZ-303, AZ-500) are highly desirable Preferred Qualifications: Bachelor s degree in Computer Science, Information Technology, or related field Experience with continuous integration and continuous deployment (CI/CD) pipelines Familiarity with DevSecOps culture and tools Work with cutting-edge cloud technologies and global teams Opportunity for continuous learning and professional growth in cloud computing Engage in challenging projects that impact business-critical applications Qualification : Bachelors degree in Computer Science, Information Technology, or related field

DevOps Engineer Bangalore, India Location: Bangalore (Bengaluru) Experience: 2 to 8 Years Industry: IT Software / Cloud & DevOps Job Summary: We are seeking an experienced DevOps Engineer to design, implement, and manage CI/CD pipelines on AWS and support application deployments. The ideal candidate will have hands-on expertise with AWS services, automation tools, and security integration within DevOps workflows. Key Responsibilities: Design, configure, and maintain CI/CD pipelines using AWS native tools or traditional platforms such as Jenkins, GitHub Actions, etc. Deploy applications on AWS using services like AWS Fargate, EBS, S3, CodePipeline, CodeBuild, and others Onboard applications onto AWS DevOps platform following the required CI/CD workflow Collaborate with application and operations teams to provide remediation and support for CI/CD pipeline onboarding Integrate various test automation frameworks and tools into CI/CD pipelines for continuous testing Implement security scanning and frameworks within pipelines, including SAST, DAST, IAST, and RASP Monitor the DevOps platform, applications, and infrastructure; respond proactively to incidents and events Automate operational tasks using Ansible or scripting languages (e.g., Python, Bash) Develop reusable automation assets and scripts to streamline DevOps processes Required Skills: Proven experience setting up and managing CI/CD pipelines on AWS and other platforms Strong knowledge of AWS services relevant to DevOps: Fargate, EBS, S3, CodePipeline, CodeBuild Familiarity with automation tools like Ansible, scripting languages, and infrastructure-as-code Experience integrating security tools and frameworks within DevOps pipelines Good troubleshooting and monitoring skills with cloud-native tools and third-party platforms Excellent collaboration skills for working across development and operations teams Preferred Qualifications: Bachelor s degree in Computer Science, Engineering, or related field Certifications in AWS DevOps (AWS Certified DevOps Engineer) or similar credentials Experience with container orchestration (e.g., Kubernetes) and Docker Knowledge of Agile and DevSecOps methodologies Work on cutting-edge cloud-native DevOps solutions Collaborate with a dynamic team focused on automation and security Opportunity for professional growth and certification support Qualification : Bachelors degree in Computer Science, Engineering, or related field.