API Performance Jobs in Bengaluru

Technical Manager Location: Bengaluru Hiring is still weighed down by outdated processes manual screening, unconscious bias, and heavy administrative overhead. Talview is changing that with GenAI-powered hiring and assessment platforms that make recruitment faster, fairer, and scalable. We help organizations focus on what truly matters: finding exceptional people. Our AI Products Alvy: The world s first AI Proctoring Agent for intelligent global exam monitoring. Ivy: A conversational AI Interviewer transforming first-round screenings. Impact: 10M+ assessments delivered across 120+ countries for global enterprises. The Role We re looking for a Technical Manager who thrives at the intersection of technical depth, architectural ownership, and people leadership. You will lead high-performing engineering teams, guide complex architectural decisions, and partner with product leadership to deliver enterprise-grade, AI-driven products. What You ll Do Lead & Mentor: Guide frontend, backend, and QA engineers to deliver high-impact features. Architectural Evolution: Ensure performance, scalability, security, and resilience across platforms. Product Strategy: Partner with Product and Design to translate business needs into technical roadmaps. Engineering Excellence: Set standards for code quality, testing, CI/CD, and observability. Talent Development: Conduct 1:1s, provide feedback, and coach engineers through career progression. Requirements Experience: 8+ years in software development with 2+ years in engineering leadership. Tech Stack: Strong full-stack background in JavaScript/TypeScript, React, Node.js, Java, or Python. Cloud & API: Hands-on experience with AWS, Azure, or GCP and REST/GraphQL APIs. Architecture: Deep understanding of microservices, system design, and distributed systems. Databases: Proficiency in SQL and NoSQL environments. Bonus Points Experience building and scaling SaaS products. Practical understanding of AI/ML concepts and applications. Experience with AI-assisted coding tools (Cursor, Windsurf, Codex, etc.). Our Culture: The 5Cs We are driven by Collaboration, Commitment, Credence (trust), Customer-centricity, and Candor. We ship quality, trust each other, and communicate openly. What You Get Competitive compensation and best-in-class hardware/software. Work-Life Balance: 5-day work week with flexibility. Perks: Fully stocked pantry, gourmet coffee, monthly team lunches, and annual offsites. Growth: Accelerated career growth in a fast-scaling product organization.

QA Engineer Experience: 3 5 Years | Location: Bangalore | Employment Type: Full-Time About SecPod SecPod (Security Podium) is a cybersecurity technology company headquartered in India and the USA. Founded in 2008, SecPod builds innovative security products that help organizations adopt a prevention-first approach to cybersecurity. Role Summary We are looking for a highly motivated QA Engineer with strong expertise in test automation to ensure the quality, reliability, and performance of our cybersecurity products. The role involves owning end-to-end test automation and continuously improving quality processes across the development lifecycle. Key Responsibilities Automation Ownership: Own the design, development, execution, and maintenance of automated test suites. Framework Building: Build and maintain automation frameworks for Web applications, Desktop applications, and REST APIs. Regression Testing: Continuously evaluate test cases for regression coverage and automate newly introduced features. Strategic Testing: Define and implement automation strategies and appropriate test design techniques. Cross-functional Collaboration: Work with Development Leads, Architects, and Product Management to ensure high-quality deliverables. Required Qualifications & Technical Skills Experience: 3 5 years of hands-on experience in test automation. Programming: Proficiency in at least one programming language, preferably Python. Testing Foundations: Strong understanding of the Software Testing Life Cycle (STLC). Automation Expertise: Experience in building and maintaining frameworks for UI and REST API automation. DevOps & Tools: Practical experience with CI/CD pipelines (Jenkins), Test Management, and Defect Tracking tools. System Knowledge: Familiarity with web technologies (HTTP, REST), database concepts, and both Linux and Windows environments. Preferred & Non-Technical Skills Domain Knowledge: Experience in the cybersecurity domain or networking is a strong plus. Soft Skills: Strong analytical and problem-solving skills with a research-oriented approach. Agile Mindset: Ability to adapt quickly to change and collaborate effectively in a team environment. Education: Bachelor s or Master s degree (BE / MCA / M.Tech). Qualification : Bachelors or Masters degree (BE / MCA / M.Tech)

Product Manager Payments Location: Bengaluru Work Type: Full Time Experience: 2 6 years About Tazapay Tazapay is a leading fintech platform for cross-border businesses. We provide local and global collections, holding, and payouts across multiple markets. As we expand into the digital asset ecosystem, we are building comprehensive crypto and stablecoin payment solutions to meet the growing demand for blockchain-based cross-border transactions. About the Team At Tazapay, product development is highly collaborative, involving engineering, design, partnerships, legal, risk, operations, and go-to-market teams. The cross-border payment platform team owns the core features of Tazapay s Payment Platform, including Payins, Payouts, and crypto/stablecoin infrastructure. Role Overview As Product Manager Payments, you will lead the design, development, and launch of global payment rails across both traditional and crypto/stablecoin systems. You will ensure enterprises can successfully build and operate payment operations using Tazapay s platform, bridging fiat and digital asset ecosystems. Key Responsibilities Design and launch crypto/stablecoin payment flows, including digital wallet integrations, stablecoin/blockchain settlements, and multi-chain payment solutions. Drive feature development and market launches for stablecoins like USDC, USDT, and emerging stablecoins across blockchains such as Ethereum, Polygon, and Solana. Collaborate closely with engineering, legal, sales, support, and compliance teams throughout the product lifecycle to deliver seamless payment experiences. Integrate traditional banking rails with crypto payment options, providing merchants with unified access across all payment types. Navigate and ensure compliance with global crypto regulations, working with legal and compliance teams on AML/KYC, licensing, and emerging regulatory requirements. Use a data-driven approach to analyze blockchain transactions, payment metrics, and user behavior to optimize product performance. Who You Are Minimum Requirements 2 6 years of product management experience, with at least 2 years in fast-paced fintech or crypto startups. Hands-on experience with crypto/blockchain integrations, stablecoins, wallet connectivity, smart contracts, or digital asset payment systems. Deep understanding of stablecoin ecosystems (USDC, USDT, DAI, and algorithmic stablecoins) and their underlying mechanisms. Expertise in financial API design with experience in both traditional and blockchain/crypto API integrations. Strong technical understanding of blockchain fundamentals: transaction lifecycles, gas optimization, multi-chain architecture, and consensus mechanisms. Knowledge of crypto compliance requirements and emerging global regulatory frameworks (AML/KYC, licensing, etc.). Analytical mindset with ability to leverage blockchain and payment data to drive product decisions. Preferred Qualifications Degree in Computer Science, Engineering, Finance, or related field, with blockchain coursework or certifications. Proven track record of launching successful crypto/stablecoin payment products or features at scale. Hands-on experience with major blockchain networks, ecosystems, development tools, and integration patterns. Experience collaborating with crypto exchanges, wallet providers, or blockchain infrastructure companies. Qualification : Degree in Computer Science, Engineering, Finance, or related field, with blockchain coursework or certifications

Lead Software Engineer - Scale & Performance Location: Bengaluru Experience: 6 12 years About VuNet VuNet is a pioneer in Business Journey Observability, using Big Data and Machine Learning to revolutionize digital experiences in the financial services industry. Our platform delivers end-to-end visibility into customer journeys, helping organizations proactively resolve issues, ensure operational resilience, and deliver superior user satisfaction. With over 28 billion digital transactions monitored every month and serving more than 300 million users globally, VuNet is shaping the future of observability for some of the largest banks and financial institutions. We are Series B funded, part of NASSCOM s DeepTech Club, and recognized by global analysts such as Gartner and Omdia. Your Role: Lead Software Engineer - Scale & Performance As a Lead Software Engineer for Scale & Performance, you ll own the performance and scalability benchmarks for VuNet s observability platform. You will work with cutting-edge technologies, design robust test frameworks, and ensure that our platform scales seamlessly to meet the demands of millions of users. Roles & Responsibilities Own performance and scalability benchmarking for key platform components (ingestion pipelines, data storage, and query services). Design and execute load, stress, soak, and capacity tests across microservices, agents, and ingestion layers. Identify and resolve performance bottlenecks in both infrastructure (CPU/memory/IO) and application layers (API latency, throughput, GC behavior). Develop and maintain performance test frameworks, preferably using Kubernetes-based environments. Collaborate with DevOps and SRE teams to optimize system configurations (Kubernetes, Postgres/TimescaleDB, ClickHouse, Kafka) for scale. Implement OpenTelemetry for service instrumentation to monitor system health and latency (p50/p95/p99 metrics). Contribute to capacity planning, scaling strategies (horizontal/vertical), and resource optimization. Analyze production incidents related to scaling issues and drive permanent fixes. Work with engineering teams to design scalable architecture patterns and define SLIs/SLOs for system performance. Document performance baselines, tuning guides, and scalability best practices for internal use. What You Bring Mandatory Skills: Strong background in performance engineering for large-scale distributed systems or SaaS platforms. Expertise in Kubernetes, container runtimes (containerd/Docker), and resource profiling in containerized environments. Solid understanding of Linux internals, CPU/memory profiling, and network stack tuning. Hands-on experience with observability tools (Prometheus, Grafana, OpenTelemetry, Jaeger, Loki, Tempo, etc.). Familiarity with observability platform datastores like ClickHouse, PostgreSQL/TimescaleDB, Elasticsearch, or Cassandra. Experience with performance benchmarking tools such as k6, Locust, JMeter, or custom Golang/Python scripts. Ability to interpret system metrics (CPU usage, memory, GC, latency) and correlate across different layers. Nice-to-Have Skills: Experience with agent benchmarking (OpenTelemetry Collector, custom data shippers). Exposure to streaming systems like Kafka, NATS, or Pulsar. Familiarity with CI/CD pipelines for performance testing and regression tracking. Knowledge of cost optimization and capacity forecasting in cloud environments (AWS/GCP/Azure). Proficiency in Go, Python, or Bash scripting for automation and data analysis. Life at VuNet: At VuNet, we're building a world-class observability platform, and we re just getting started. You ll be part of a passionate, problem-solving team that embraces collaboration, fast learning, and staying ahead of emerging technologies like Gen AI. We foster a high-trust, inclusive culture where collaboration, ownership, and innovation are central to our success. If you're looking to work on cutting-edge tech, make a real impact, and grow with a supportive team you ll fit right in at VuNet. Benefits: Comprehensive health insurance coverage for you, your parents, and dependents. Mental wellness and 1:1 counseling support. A culture that promotes continuous learning, innovation, and career growth. Transparent, inclusive, and high-trust workplace. Opportunities for skill enhancement with training programs focused on new Gen AI technologies.

Job Title: Product Manager - Midas Location: Bangalore Department: Product Management Employment Type: Full-Time About FalconX At FalconX, we are a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the cryptocurrency markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges. Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, liquidity, and infrastructure found in conventional financial markets. As a comprehensive solution for digital asset strategies, FalconX enables seamless navigation through the evolving cryptocurrency landscape. The Role We are seeking a Technical Product Manager to focus on the technical and tactical aspects of our electronic trading platform, **Midas**. In this role, you will work closely with internal teams to build and maintain scalable, robust, and high-performance solutions for institutional customers. You will be responsible for managing the infrastructure, app layer, liquidity layer, and client-facing initiatives, ensuring the platform is optimized for reliability, speed, and scale. Key Responsibilities 1. Infrastructure Layer Management: Drive quarterly investments in **latency and reliability improvements** to enhance the core infrastructure of the platform. Ensure improvements in latency lead to measurable throughput gains, reduced slippage, and higher fill rates. Oversee technical enhancements and upgrades to maintain and scale the platform's infrastructure. 2. Application Layer Enhancements: Develop and enhance new order types and algorithms (e.g., Stop Loss, Partial Fills, Icebergs) to meet evolving market needs. Manage tech debt cleanup, including consolidating and updating configurations. Oversee **FIX infrastructure updates** to support new order types, scalability, and more dynamic spreading logic. Improve **API performance**, focusing on reducing outdated and slow API calls to match current scale. 3. Liquidity Layer: Transition away from primitive hedging models by increasing the sophistication of liquidity management. Develop APIs for liquidity providers (LPs) to enhance platform functionality and liquidity management. Build tools to track and report liquidity status and identify potential gaps in liquidity. 4. Client-Facing Initiatives: Collaborate with cross-functional teams to translate client needs into technical features and product requirements as the platform expands into new markets. Work closely with Sales and Revenue teams to ensure alignment of product development with client demands and technical capabilities. Support client onboarding and provide technical insights into the trading system to ensure a seamless user experience. 5. Day-to-Day Operations: Oversee proactive issue identification and resolution during Asia hours, ensuring system uptime and reliability. Track and report trading data and success metrics for product releases, ensuring timely and accurate performance metrics. Support revenue teams in technical conversations and assist in explaining technical challenges and solutions to clients and stakeholders. 6. Product Lifecycle Management: Own the product lifecycle from concept to execution, driving the Objectives and Key Results (OKRs) for Midas and other product initiatives. Write detailed Product Requirements Documents (PRDs) for technical improvements at the infrastructure and application layers. Create testing frameworks and test cases for product releases, ensuring high-quality standards are maintained. 7. Cross-Functional Collaboration: Collaborate with Engineering, Partnerships, Operations, and Compliance teams to capture all technical requirements for successful product launches. Ensure product features are delivered on time and meet the needs of internal stakeholders and customers. Qualifications Experience: 4-7 years of proven experience in technical product management with a focus on API development and management. Minimum 2 years of experience in brokerage, market-making, or institutional trading. Experience working with foreign exchange products or payment solutions is a must. Prior experience in digital assets or cryptocurrency markets is a bonus. Skills: Strong technical background with experience in managing complex trading systems and market infrastructure. Proficient in **API design and development**, with hands-on experience working with low-latency, high-performance systems. Ability to define and prioritize product requirements in collaboration with cross-functional teams. Excellent problem-solving skills, with the ability to navigate technical challenges in a fast-paced, evolving market. Strong knowledge of market-making and liquidity management in institutional environments. Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Education: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Innovative Environment: Work at the intersection of traditional finance and cutting-edge blockchain technology in a fast-paced, high-growth environment. Market Leadership: Play a crucial role in shaping the future of digital asset trading for institutional clients, helping to address key industry challenges. Collaborative Culture: Join a team of highly talented operators, engineers, and product managers working towards a unified mission of revolutionizing the crypto market. Career Growth: Gain exposure to a rapidly expanding industry and access to opportunities for learning and development. If you're passionate about digital assets, excited by technical challenges, and ready to have a direct impact on the future of institutional trading, we want to hear from you! Join us at FalconX to shape the future of the crypto market. Qualification : Bachelors or Ma...

Analytics Engineer Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, used by over 40 million developers and 500,000 organizations, including 98% of the Fortune 500. Our mission is to build an API-first world, simplifying every step of the API lifecycle and 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 seeking an Analytics Engineer to join our Data Team and help strengthen the foundation of our modern data stack. In this role, you will own critical transformation pipelines, design scalable data models, and ensure that our analytics environment is performant, reliable, and future-ready. You will operate with a high degree of independence, driving projects from design through production, while implementing best practices in dbt, semantic layers, medallion architecture, and lakehouse paradigms. Key Responsibilities Take ownership of large portions of our dbt project (3k+ models), ensuring scalability, maintainability, and adherence to best practices. Design and implement robust data models, including dimensional modeling, incremental strategies, and Slowly Changing Dimensions (SCDs). Establish and enforce dbt test coverage, automated quality checks, and CI/CD pipeline standards using GitHub Actions. Profile and optimize SQL queries and warehouse performance for efficiency and cost reduction. Build and refine our semantic layer, ensuring consistent business logic across Looker, Redash, and downstream tools. Collaborate with analysts and business partners to define metrics and deliver self-serve data assets. Document models, lineage, and transformation logic to make data discoverable and usable across the company. Contribute to shaping team standards and playbooks, collaborating with analysts on modeling and transformation best practices. Stay ahead of modern data stack innovations, including dbt metrics layer, universal semantic layers, data contracts, and observability. Enabling Self-Serve Analytics & AI Build transformations that empower business stakeholders and analysts to explore data confidently. Ensure metric definitions are consistent, discoverable, and reusable across BI tools. Prepare clean, structured, and accessible datasets for AI-driven initiatives like conversational analytics and anomaly detection. Partner with Data Science & ML teams to provide reliable pipelines that accelerate experimentation and AI/ML deployment. About You 3 5 years of experience in analytics engineering roles. Advanced SQL skills (query optimization, performance tuning). Strong proficiency in dbt Core: models, macros, snapshots, sources, and custom materializations. Solid background in data modeling techniques (Kimball, SCD handling, incremental pipelines). Practical experience with semantic layers and BI integration (LookML, dbt metrics, or equivalent). Familiarity with Medallion architecture and modern lakehouse approaches. Hands-on experience with Redshift; exposure to Databricks is a plus. Proficiency with GitHub and CI/CD pipelines for analytics code. Strong fundamentals in data quality, governance, and lineage tracking. Flexible schedule with a hybrid work model. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Access to wellness programs, team-building events, and donation-matching initiatives. An inclusive, collaborative culture where everyone can thrive and grow. Our Values Curiosity: Explore and innovate fearlessly. Transparency: Communicate openly about successes and failures. Focus: Set clear goals aligned with a bold vision. Inclusion: Every voice matters. Excellence: Deliver the best products and experiences together.

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

Engineering Manager, Collections Location: Bengaluru Work Type: Full-Time About Postman Postman is the world s leading API platform, enabling over 40 million developers and 500,000 organizations, including 98% of the Fortune 500, to design, test, and collaborate on APIs efficiently. Founded in Bengaluru and headquartered in San Francisco, Postman simplifies the API lifecycle to help teams build better APIs, faster. The Opportunity The Collections team is at the heart of Postman s platform, enabling seamless API collaboration for millions of users. We manage tier-0/1 critical systems handling ~21M requests daily, supporting pillars like API development, testing, prototyping, discovery, distribution, and change management. We are seeking an experienced Engineering Manager to take Collections to the next level leading technical strategy, scaling systems, improving user experience, and growing a high-performing team. This role combines technical leadership, people management, and product vision, directly impacting Postman s growth and user engagement goals. Key Responsibilities Leadership & Team Development Grow and mentor engineers, aligning career growth with business goals. Participate in recruiting, hiring, and onboarding top engineering talent. Define and measure team performance with clear OKRs and real-time feedback. Technical & Strategic Ownership Drive engineering strategy and roadmap for the Collections team. Lead design and code reviews, ensuring high standards across frontend and backend systems. Ensure product reliability, performance, security, and 99.99% availability. Prioritize multi-quarter roadmaps while balancing technical constraints and business needs. Collaboration & Cross-functional Impact Partner with Product, Design, and Engineering teams to deliver a unified, high-quality API collaboration experience. Champion operational and customer excellence through incident management, performance monitoring, and UX issue resolution. About You Experience & Skills Bachelor s degree in Computer Science or equivalent practical experience. 7+ years of software development experience (C, C++, Java, JavaScript, NodeJS). 3+ years in technical leadership roles building impactful products. 2+ years in people management. Experience with microservices architecture and scalable systems. Exceptional written, verbal communication, and stakeholder management skills. Empathetic, collaborative, and committed to creating a positive team culture. Nice-to-Have Experience building customer-focused products at scale. Familiarity with standardizing engineering processes in a growing organization. Flexible hybrid work model with a collaborative and inclusive team. Full medical coverage, flexible PTO, wellness reimbursement, and monthly lunch stipend. Wellness programs, team-building events, and donation-matching initiatives. Opportunities for growth, ownership, and making a measurable impact on Postman s global platform. Our Values Curiosity: Explore boldly and innovate. Transparency: Communicate openly about successes and failures. Focus: Align work with Postman s larger vision. Inclusion: Every team member s voice matters. Excellence: Deliver high-quality products and experiences. Qualification : Bachelors degree in Computer Science or equivalent practical experience

Staff Software Engineer AI & Automation Location: Bengaluru Company: Okta, The World s Identity Company Experience: 8+ Years Type: Full-Time About Okta Okta is the world s leading identity platform. We empower people to securely access any technology, anywhere, on any device. With products like the Okta Platform and Auth0, we place identity at the core of business security, enabling growth through safe digital transformation. At Okta, we value diverse perspectives and experiences. We believe in learning, collaboration, and building an inclusive environment where everyone belongs. About the Team The Business Technology - Shared Services team is at the forefront of Okta s internal digital transformation. We focus on building intelligent, automated platforms that simplify operations and deliver smarter, faster experiences to both employees and customers. We collaborate across engineering, data science, security, and business units to deliver cutting-edge solutions powered by Generative AI (GenAI), virtual agents, workflow orchestration, and intelligent recommendations. The Opportunity As a Staff Software Engineer, you ll play a critical role in designing and developing AI-powered platforms that drive automation, scale, and intelligence across Okta s business. You ll help make LLM-powered solutions and intelligent automation a reality for the enterprise ensuring performance, security, and reliability at scale. This is a hands-on, individual contributor (IC) role, ideal for engineers who are passionate about solving complex problems, architecting scalable systems, and pushing the boundaries of AI integration. What You ll Do Design & Build: Develop scalable backend services that embed GenAI and automation into core business workflows (e.g., virtual agents, document intelligence, smart routing). Collaborate Across Teams: Work closely with product managers, data scientists, and other engineers from ideation to production. Architect for Scale: Make key architectural decisions around LLM integration, API design, data flow, and observability. Code with Excellence: Write clean, secure, and maintainable code in Python, Java, or similar languages. Build for Production: Use Docker, Kubernetes, and CI/CD pipelines to build and deploy high-availability services. Champion Best Practices: Promote high standards for testing, security, code reviews, and operational readiness. Mentor & Guide: Support a collaborative team culture through peer mentorship and design reviews. What You ll Bring 8+ years of experience in software engineering with a strong track record of building and maintaining production-grade, cloud-native services. Expertise in distributed systems, API development, and cloud infrastructure (AWS, GCP, or Azure). Proficiency in Python, Java, or Go. Experience with Docker, Kubernetes, and observability tools (e.g., Prometheus, Grafana, ELK). Exposure to AI/ML concepts and eagerness to work with LLMs, NLP, or automation platforms. A strong sense of ownership, collaborative mindset, and a bias toward action. Passion for learning and working with emerging technologies especially in the AI and automation space. Why Join Okta Make AI Real: Help move GenAI from experimentation to enterprise-wide impact. Build with Purpose: Work on challenges that simplify and secure Okta s internal operations. Grow in a Human-Centered Culture: Join a humble, technically driven team that values learning, excellence, and personal growth. Join Okta and shape how identity, AI, and automation come together to power the modern enterprise.

Job Title: Senior Specialist Software Engineering Location: Bengaluru Type: Full-Time Level: Professional About BetaNXT BetaNXT is powering the next generation of connected wealth management infrastructure. By integrating our proven platforms Beta, Maxit, and Mediant we deliver real-time data solutions that enhance advisor productivity, streamline enterprise operations, and elevate the investor experience. Our platform helps wealth management firms transform their legacy systems into scalable, future-ready solutions that drive differentiation and growth. About the Role We are seeking a Senior Specialist Software Engineering to join our Product Engineering team. This is a key technical leadership role for someone passionate about enterprise integration, legacy modernization, and delivering high-performance, scalable systems. You will work closely with architects, product managers, and cross-functional teams to design and implement critical enhancements across our platform, playing a key role in shaping our strategic initiatives. Key Responsibilities Lead software design & development of complex enterprise components aligned with business and technical goals. Collaborate with Solution Architects to define scalable, maintainable solutions. Provide technical oversight through the software lifecycle design, development, testing, and integration. Define and execute testing strategies: unit, integration, and performance. Drive code quality and reliability through proactive issue resolution and continuous improvement. Create and maintain technical documentation to ensure long-term maintainability. Ensure adherence to development best practices, internal standards, and compliance. Serve as a technical SME and point of contact for assigned domains. Mentor junior engineers, promoting skill development and knowledge sharing. Coordinate with QA, documentation, deployment, and support teams to ensure successful delivery. Participate in project planning, provide effort estimates, and contribute to work breakdown. Communicate effectively with technical and non-technical stakeholders, including senior leadership. Contribute in Agile/SCRUM teams, supporting sprint ceremonies and cross-functional collaboration. Maintain timely updates, raise risks early, and help drive resolution. Required Qualifications & Experience 10+ years of hands-on experience in Enterprise Application Integration and Mainframe Development. Expertise in COBOL, JCL, CICS, DB2, VSAM, and environments like CICS Web Services & Transaction Server 3.1. Proficient in integration technologies: IBM Integration Bus (IIB 10) IBM App Connect Enterprise (ACE 12) MQ Series, IBM DataPower Familiar with mainframe tools: TSO, File-Aid, Syncsort, Platinum, Abend-Aid, Mainview Experience with JCL utilities, ChangeMan, and version control tools like GIT. Skilled in unit testing, code quality, and design documentation. Understanding of performance metrics: CPU usage, response time, network latency, etc. Knowledge of API modeling and annotation tools: Swagger, RAML. Familiarity with XML, XSD, XPath, XQuery, JSON. Experience working in Agile/SCRUM development environments. Strong analytical, communication, and cross-functional collaboration skills. Bachelor s degree in Computer Science, Information Science, or a related field. Master s degree or certifications (e.g., IBM, Agile) are a plus. Join a company transforming the wealth management technology landscape. Work on mission-critical systems that power financial operations at scale. Collaborate with industry leaders and technical experts in a fast-paced environment. Contribute to modernization efforts that directly impact advisor and investor experience. Thrive in a culture that values innovation, integrity, and continuous improvement. Qualification : Bachelors degree in Computer Science, Information Science, or a related field

Job Title: Lead / Senior Software Engineer (Microservices, IoT, Kafka, AWS) Location: Bengaluru Experience Required: 5 8 years Industry: Automotive (Electric Mobility) Employment Type: Full-time About Ultraviolette Join the Charge. Create the Future. At Ultraviolette, we re not just building electric vehicles we re redefining what mobility looks and feels like. From creating India s fastest electric motorcycle to designing the world s most advanced electric scooter, we're on a mission to engineer machines that are not only sustainable, but also exhilarating. Our team is a diverse mix of engineers, designers, dreamers, and doers, united by a bold vision to accelerate the global shift to electric mobility. If you're driven by innovation and looking to work on cutting-edge products that challenge the status quo, this is your platform to make a real impact. About the Role We are looking for a Senior/Lead Software Engineer who thrives in designing scalable, high-performance, and cloud-native microservices. This role is ideal for someone with hands-on experience in Java, Spring Boot, Kafka, and AWS, and a keen interest in IoT and real-time data architectures. You will work at the intersection of hardware and software helping us bring our vision of connected, intelligent, and high-performance electric vehicles to life. Key Responsibilities Design, develop, and deploy Java-based microservices using Spring Boot and related technologies. Architect and implement event-driven systems using Apache Kafka for real-time IoT data streaming. Build and manage RESTful APIs with AWS API Gateway for seamless service integration. Leverage AWS services such as Lambda, DynamoDB, and MemoryDB to build scalable, serverless solutions. Collaborate with cross-functional teams front-end developers, DevOps, and product managers to convert ideas into working features. Optimize application performance, troubleshoot issues, and ensure high reliability and availability. Mentor junior engineers, conduct code reviews, and enforce clean coding practices. Contribute to architecture decisions, technical roadmaps, and innovation initiatives. Stay on top of emerging technologies in cloud, microservices, and IoT ecosystems. Participate actively in Agile processes including sprint planning, stand-ups, and retrospectives. Required Qualifications Bachelor s or Master s degree in Computer Science, Engineering, or a related field. 5+ years of hands-on experience in Java development, with a strong foundation in Spring Boot. Proven experience designing and deploying microservices architectures. Strong knowledge of Kafka and real-time streaming/data pipeline architectures. Hands-on experience with Docker and Kubernetes for containerization and orchestration. Understanding of IoT protocols such as MQTT or CoAP and device connectivity. Proficiency with version control (Git) and Agile methodologies. Excellent problem-solving, communication, and collaboration skills. Nice to Have AWS Certifications (e.g., AWS Certified Developer or Solutions Architect). Experience with additional languages like Python or Rust. Familiarity with NoSQL databases such as MongoDB or Cassandra. Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (e.g., Terraform). Exposure to stream processing frameworks (e.g., Apache Flink, Spark Streaming). Experience in edge computing and distributed systems. Strong understanding of cloud security best practices. Work on India s most futuristic electric vehicles at the intersection of technology, performance, and sustainability. Be part of a mission-driven company shaping the future of mobility. Collaborate with some of the most talented engineers and designers in the industry. A fast-paced environment that celebrates innovation, learning, and growth. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field

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

Position: Senior Frontend Engineer (React, Redux, GraphQL) Location: Remote/Hybrid | Bengaluru, IND We're looking for a passionate Senior Frontend Engineer to join our team. If you have 4+ years of experience building high-performance, scalable web applications with React, Redux, and GraphQL, you'll be a key player in crafting intuitive and engaging user interfaces that drive our product's success. What You'll Do: Develop and maintain interactive, responsive UIs using React and Redux, ensuring a seamless user experience. Integrate GraphQL queries and mutations to connect frontend components with backend data. Design and build reusable, modular components, ensuring design and functional consistency. Master application state with Redux or similar libraries for optimal performance. Collaborate closely with backend engineers for efficient API integration and data flow. Optimize application performance, focusing on fast load times and smooth interactions. Write clean, maintainable, and well-documented code, participating in code reviews to uphold quality. Develop and maintain comprehensive unit, integration, and end-to-end tests. Work with UX/UI designers to translate designs into high-quality user interfaces. Stay current with emerging frontend technologies, proposing and implementing process improvements. What You'll Bring: 4+ years of proven experience as a Frontend Engineer with a strong portfolio showcasing expertise in React, Redux, and GraphQL. Advanced skills in React (hooks, context), Redux (state management), and GraphQL (Apollo Client). Strong command of HTML5, CSS3, JavaScript (ES6+), and responsive design principles. Experience with build tools like Webpack and Babel. Proficiency with Git for version control. Excellent problem-solving, analytical, and communication skills. A collaborative spirit and the ability to thrive in a team environment. Bachelor's degree in Computer Science or a related field. Bonus Points: Experience with TypeScript. Knowledge of server-side rendering (SSR) or static site generation (SSG) with React. Familiarity with UI/UX design tools (Figma, Sketch) or testing frameworks (Jest, React Testing Library).

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

Lead Software Engineer - Backend Location: Bengaluru, India Employment Type: Full-time, Hybrid About Neuron7.ai Neuron7.ai is a rapidly growing AI-first SaaS company that is redefining 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 AI-driven platform helps enterprises make accurate service decisions at scale by delivering service predictions in seconds through the analysis of structured and unstructured data. We work across industries, including high-tech devices, manufacturing, and medical devices, enabling service leaders to excel in critical metrics like first-call resolution, turnaround time, and service margins. At Neuron7.ai, you ll be part of an innovative and dynamic team that is shaping the future of service intelligence. We value creativity, collaboration, and a commitment to pushing boundaries. This is your chance to make an impact in a fast-growing startup and work with cutting-edge technology. About the Team As a Lead Software Engineer - Backend, you will play a crucial role in architecting, developing, and optimizing backend systems for our groundbreaking products. You will lead a talented team, collaborating across functions to deliver scalable and high-performance systems. As a leader, you ll also mentor and guide junior engineers to help them grow in their careers. What You ll Do: Backend Systems Design: Lead the design and implementation of scalable, reliable, and high-performance backend systems. Distributed Systems: Develop and optimize distributed systems to handle large-scale traffic and data. System Architecture: Lead the architecture and design of critical components, ensuring robust and efficient solutions. Code Development: Write clean, maintainable, and efficient code that powers our AI-driven platform. Cross-Functional Collaboration: Work closely with product managers, frontend engineers, and other stakeholders to deliver end-to-end solutions. Troubleshooting & Debugging: Solve complex production issues and implement reliable, performance-optimized solutions. Mentorship: Provide guidance and mentorship to junior and mid-level engineers, fostering a collaborative environment. Continuous Learning: Stay updated on the latest trends and advancements in backend development, AI, and distributed systems. What We re Looking For: Experience: Minimum 10 years of professional experience in backend development, with at least 4 years of experience in AI, NLP, or ML. Programming Skills: Expertise in one of the following programming languages: Java, Python, or Golang. Distributed Systems: Proven experience in building and maintaining distributed systems at scale. Cloud Platforms: Familiarity with at least one major cloud platform (Azure, AWS, or GCP). System Design: Strong understanding of system design, architecture patterns, and data structures. Database Knowledge: Experience with relational and NoSQL databases. API Development: Proficiency in developing RESTful APIs and microservices. Security & Performance: Solid understanding of security best practices and performance optimization in backend systems. Problem-Solving Skills: Strong analytical skills with a proven track record of solving complex engineering challenges. Communication: Excellent communication skills with the ability to collaborate across teams and interact with non-technical stakeholders. Preferred Skills: Containerization: Experience with Kubernetes, Docker, or other containerization tools for scalable deployment. Messaging Systems: Familiarity with Kafka, RabbitMQ, or similar messaging systems for real-time data processing. CI/CD: Knowledge of CI/CD pipelines and automation tools to ensure efficient development and deployment. Data Pipelines: Familiarity with data pipelining frameworks such as PySpark, Flink, or similar for real-time processing. What We Do and Value: At Neuron7.ai, we prioritize integrity, innovation, and a customer-centric approach. Our mission is to enhance service decision-making through advanced AI technology, and we are dedicated to delivering excellence in every aspect 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 hybrid 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 excited about building innovative backend solutions and want to work with cutting-edge technologies in a forward-thinking team, we d love to hear from you!

Job Title: Software Tester Location: Bengaluru, India Type: Full-Time Education BE, BCA, MCA, BTECH in Computer Science or related field. Key Responsibilities Test Planning & Strategy: Collaborate with development teams to create and strategize testing scenarios and ensure high-quality product delivery. Responsible for creating comprehensive and detailed test plans and test cases, ensuring they align with the Business Requirement Specification (BRS). Types of Testing: Perform functionality testing, usability testing, performance testing, compatibility testing, security testing, and regression testing to ensure a robust product. Conduct API testing (specifically Rest APIs) to validate backend services and data flows. Manual & Integration Testing: Execute complex manual tests, integration tests, and regression tests to identify potential issues in the system. Write and execute detailed test cases, ensuring proper test coverage and identifying defects. Defect Tracking & Reporting: Utilize JIRA and Confluence for defect tracking, project management, and team collaboration. Identify defects, log them efficiently, and ensure proper follow-up, providing developer-friendly bug reports to facilitate quick fixes. Testing Automation: Knowledge of test automation concepts and tools is a plus (not mandatory). Cross-Platform Testing: Conduct testing across both mobile and web platforms, ensuring compatibility across different browsers and devices. Stress and Functionality Testing: Perform stress testing and functionality testing to verify the product's resilience under various load conditions and ensure all features function correctly. Use Case Development: Think from both developer and user perspectives to identify and write testable use cases. Ensure that use cases translate into smooth user experiences by creating appropriate test cases for validation. Skills & Qualifications Testing Expertise: Strong understanding of Manual Testing with hands-on experience in various types of testing (functionality, usability, performance, etc.). Automation experience is a plus. API Testing: Experience testing Rest APIs and validating backend services. Performance Testing: Experience with load testing tools like JMeter. Defect Tracking Tools: Proficient in using JIRA and Confluence for bug tracking and project management. Operating Systems: Comfortable working with Windows and Linux environments. Agile Experience: Familiar with working in an Agile development process, collaborating with cross-functional teams. Test Scripting: Ability to write and execute efficient test scripts for both manual and automated testing. Cross-Platform Testing: Ability to test on both web and mobile platforms to ensure compatibility and consistency. Problem-Solving: Strong analytical skills with the ability to identify problems and troubleshoot effectively. Career Growth: Opportunities for learning, skill enhancement, and career advancement. Dynamic Environment: Work in a fast-paced and innovative environment with exposure to diverse projects. Work-Life Balance: Flexible working hours and a healthy work-life balance. If you are passionate about quality assurance and want to work on exciting projects in a collaborative environment, we encourage you to apply and become a part of our team! Qualification : BE, BCA, MCA, BTECH in Computer Science or related field.

Full-Stack Laravel Developer - Bangalore/Vizag Location: Bangalore / Vizag Role: Full-Stack Laravel Developer Experience: 6 - 15 years Laravel Experience: 5+ years (Mandatory) Number of Positions: 5 Qualifications: Relevant Engineering Degree Job Description: We are seeking experienced Full-Stack Laravel Developers to join our team in Bangalore or Vizag. Candidates should have a minimum of 6 years of full-stack development experience, with at least 5 years of mandatory Laravel experience. Key Responsibilities: Technical Leadership: Lead and mentor a team, enforce best coding practices, and collaborate with designers, product managers, and DevOps teams. Backend (Laravel): Build scalable applications, optimize APIs, implement security (OAuth2, JWT), and enhance performance with caching (Redis, Memcached). Frontend: Develop responsive UIs using Vue.js, React.js, Livewire, ensure seamless API integration, and optimize JavaScript performance. Database & DevOps: Optimize MySQL, PostgreSQL, MongoDB, implement CI/CD pipelines, and deploy applications on AWS, DigitalOcean, Azure. Required Skills: Experience: 6+ years in full-stack development, 5+ years in Laravel (Mandatory). Backend: Laravel, PHP, REST APIs. Frontend: Bootstrap, Vue.js, React.js, Livewire. Performance: JavaScript profiling, ES12+. Database: MySQL, PostgreSQL, MongoDB. DevOps: CI/CD, Docker, Kubernetes, Cloud Deployment. Security: Web security best practices.

Job Title: Cloud-Based AI Developer - Advanced Analytics Group (AAG) Company: Bain & Company Job Type: Full-Time Employment Type: Permanent What Makes Us a Great Place to Work: We are proud to be consistently recognized as one of the world s best places to work, a champion of diversity, and a model of social responsibility. We are currently ranked #1 on Glassdoor's Best Places to Work list, and we have maintained a spot in the top four for the last 13 years. Diversity, inclusion, and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, creating an environment where you can thrive both professionally and personally. We are publicly recognized for being a great place to work for diversity and inclusion, women, LGBTQ, and parents. Who You ll Work With: As a member of Bain s Advanced Analytics Group (AAG), you will work alongside generalist consultants to help clients across industries solve their biggest problems using expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics, and data engineering. AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in tech, data science, marketing analytics, and academia. We are committed to building a diverse and inclusive team and encourage candidates of all backgrounds to apply. What You ll Do: As a member of the AAG, you will be responsible for designing, developing, and maintaining cloud-based AI applications that provide high-quality, scalable, and secure solutions for our clients. Your work will encompass the full stack, from API design to deployment, delivering analytics solutions across various sectors. Cloud-Based AI Development: Design, develop, and maintain cloud-based AI applications, ensuring scalability and security, leveraging full-stack technology solutions. Cross-Functional Collaboration: Work with product managers, data scientists, and other engineers to define and implement analytics features that meet business requirements. Cloud and Containerization: Use Kubernetes and containerization technologies to deploy, manage, and scale applications in cloud environments for optimal performance. API & Microservices Development: Develop and maintain APIs and microservices to expose analytics functionality, adhering to industry best practices for design and documentation. Security and Compliance: Implement robust security measures to protect sensitive data and ensure compliance with data privacy regulations. Troubleshooting and Performance Monitoring: Continuously monitor and troubleshoot application performance, resolving issues impacting system reliability and user experience. Code Reviews and Best Practices: Participate in code reviews and contribute to the establishment of coding standards to ensure high-quality, maintainable code. Emerging Trends and Technologies: Stay current with emerging trends in cloud computing, data analytics, and software engineering to enhance the platform s capabilities. Collaboration with DevOps: Work with DevOps and infrastructure teams to automate deployment and release processes, optimizing the development workflow. Client Collaboration: Collaborate closely with business consulting teams to assess opportunities and develop analytics solutions across sectors. Education and Influence: Influence and educate clients on analytics application engineering capabilities, supporting their teams directly. Travel: Expect occasional travel (30%) for project work. About You: Required Qualifications: Education: Master s degree in Computer Science, Engineering, or a related technical field. Experience: 3+ years of experience at Senior or Staff level, or equivalent. Expertise in client-side technologies such as React, Angular, Vue.js, HTML, and CSS. Experience with server-side technologies such as Django, Flask, and Fast API. Proficiency with cloud platforms (AWS, Azure, GCP) and Terraform automation (good to have). 3+ years of expertise in Python. Experience using Git for version control and collaboration. Familiarity with DevOps, CI/CD, and tools like GitHub Actions. Demonstrated interest in LLMs, prompt engineering, and Langchain. Experience with workflow orchestration tools such as dbt, Beam, Airflow, Luigi, Metaflow, Kubeflow, or similar. Experience in the implementation of large-scale structured or unstructured databases, as well as containerization technologies like Docker and Kubernetes. Skills and Knowledge: Strong interpersonal and communication skills to explain complex engineering topics to colleagues and clients from various disciplines. Curiosity, proactivity, and critical thinking. Solid computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and software architecture. Expertise in designing API interfaces and knowledge of data architecture and database schema design. Familiarity with agile development methodologies. Join Bain & Company: Become a part of a forward-thinking team committed to solving complex problems, building innovative solutions, and delivering impactful data analytics and AI solutions. Collaborate with talented professionals and gain valuable experience that shapes the future of data analytics and AI. Qualification : Masters degree in Computer Science, Engineering, or a related technical field.

Job Title: Senior Python Expert Experience: 3 to 8 years Overview of the Role: This role sets the benchmark for team software development processes and deployment procedures, while actively contributing to establishing best practices and methodologies within the team. Responsibilities: Develop backend services using Python Flask or similar web frameworks. Design and maintain data and pipeline management frameworks using open-source technologies such as Hadoop, Hive, Spark, HBase, Kafka Streaming, Tableau, Airflow, and cloud-based data engineering services like S3, Redshift, Athena, Kinesis. Design and develop efficient CRUD operations for large datasets with millions of records. Collaborate with teams to build and maintain innovative, reliable, secure, and cost-effective distributed solutions. Own and deliver complex application components within defined timelines. Ensure quality delivery using best practices in API development, performance, and scalability. Participate in customer communication, presentations, and resolution of critical issues. Contribute to architecture, feature set, and design decisions. Proactively recognize and address requirement inconsistencies and project risks. Break down work effectively and estimate accurately. Serve as a technical mentor and role model within the team. Required Skills: Strong knowledge of Python and a web framework like Flask. Experience with AWS services such as EC2, S3, Lambda, Step Functions, Glue, SNS, SQS, Secret Manager, and CodeBuild/CodePipeline. Solid understanding of SQL, including query writing, optimization, and database interaction tools. Experience with API development (RESTful services, Postman, API Gateway). Strong coding, debugging, and problem-solving skills. Understanding of architectural trade-offs and data engineering principles (data acquisition, ingestion, distributed processing, high availability). Ability to independently handle delivery of complex projects. Excellent team management and individual contributor skills. Good to Have Skills: Experience with Big Data frameworks like Hadoop and Spark. Knowledge of AWS Aurora. Familiarity with pip, setuptools, etc. Education: B.E./B.Tech, MCA, M.E./M.Tech.

Job Title: Performance Engineer (Full Stack) Location: Pune, India Company: Blue Yonder Experience: 4 to 9 years Education: Bachelor s Degree in Computer Science, Engineering, or a related field About Blue Yonder Blue Yonder is a leading AI-driven Global Supply Chain Solutions provider, recognized by Glassdoor as one of the Best Places to Work. We design innovative solutions that power intelligent supply chains and transform global commerce. We are seeking a talented and experienced Performance Engineer with expertise in Java, Spring Boot, React, and open-source technologies. If you have a passion for clean code, automation, and performance engineering, we want you on our team. Scope of the Role You will play a critical role in the engineering team, working hands-on to design, develop, test, and optimize performance for Java-based applications deployed both on-premises and on-cloud. This role involves close collaboration with developers, testers, and stakeholders to ensure performance requirements are met and bottlenecks are eliminated. Key Responsibilities Develop quality software according to clean code principles and Blue Yonder standards. Write effective performance test cases and develop automation utilities for performance testing. Collaborate on the design and development of skeleton/stub components for successful integration testing. Analyze performance test results, report defects, and document findings through comprehensive performance test reports. Participate in design reviews, ensuring performance considerations are built into application architecture. Mentor junior team members in performance testing best practices. Gather and validate Non-Functional Requirements (NFRs) from customers and stakeholders. Proactively participate in project status meetings and offer performance-related insights. Technical Environment Performance Testing Tools: JMeter (expertise required) Programming: Java, Data Structures, Shell Scripting Operating System: Linux (Ubuntu preferred) Monitoring Tools: Telegraph, InfluxDB, Grafana Diagnostics: Thread dump analysis, GC log analysis, Heap dump analysis Architecture: Microservices, REST APIs, Reactive Applications Cloud: Azure (or equivalent cloud platforms) Must-Have Skills 4-9 years of experience as a Performance Tester/Engineer on Java-based applications. Expertise in JMeter for performance test automation. Strong understanding of performance metrics for certifying Java applications. Deep knowledge of Linux performance commands and shell scripting. Experience with application monitoring tools like Telegraph, InfluxDB, Grafana. Strong analytical and problem-solving skills with a proactive, self-motivated work style. Excellent communication skills (both written and verbal). Good to Have Skills Hands-on development experience with Java and Data Structures. Familiarity with SQL and databases. Experience with application servers such as Tomcat or Netty. Knowledge of REST API design and testing. Exposure to Azure or other cloud platforms. Experience with distributed tracing (Zipkin, etc.). Hands-on with data analysis tools like Python/R and Kafka. Experience with Glowroot and Flame Graphs for diagnostics. Familiarity with Hazelcast, Redis, or other IMDG (In-Memory Data Grid) solutions. Understanding of E-commerce and Retail domain is a plus. Hands-on experience with Cassandra or other NoSQL databases. Basic understanding of Kubernetes architecture and administration. Collaborate with a global team working on cutting-edge supply chain solutions. Be part of an inclusive, innovative, and diverse workplace. Work on modern technologies and drive impactful performance optimizations. Opportunities to learn, grow, and mentor others in your area of expertise. Diversity, Inclusion, Value & Equity (DIVE) At Blue Yonder, we foster an inclusive environment where everyone belongs. We encourage applicants from all backgrounds to apply and contribute to our diverse community. All qualified applicants will receive consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Qualification : Bachelors Degree in Computer Science, Engineering, or a related field