Statistical Software SAS Jobs in Bengaluru

Senior Financial Data Analytics Location: Bengaluru (Rathi Legacy, Rohan Tech Park, Hoodi) Team: Finance Staff Employment: Full-Time | Hybrid About Cognite Cognite is a global SaaS leader driving industrial digital transformation with AI and data solutions like Cognite Atlas AI and Cognite Data Fusion. Recognized for innovation and impact, we serve industries such as Oil & Gas, Chemicals, Pharma, and Manufacturing. Role Overview We re looking for a data-driven FP&A Data Analyst to strengthen our financial data infrastructure, deliver impactful analytics, and support decision-making through automation and reporting. You ll collaborate across Finance, Revenue Ops, and other teams, and contribute to FP&A software implementation and management. Key Responsibilities Build and maintain a scalable, reliable financial data foundation. Develop insightful Power BI dashboards and reports to aid financial planning and forecasting. Perform deep-dive analyses on financial trends and business drivers. Automate reporting processes and streamline data workflows. Collaborate with FP&A, Accounting, and BI teams to align insights with business goals. Support FP&A software selection, implementation, and ongoing management. Handle ad-hoc data requests, financial modeling, and scenario planning. Your Profile Bachelor s degree in Finance, Accounting, Economics, Data Science, or related (Master s/MBA preferred). 5 8 years of FP&A, data modeling, and financial reporting experience. Strong skills in Power BI (or Tableau), advanced SQL, and financial modeling. Experience automating reporting and managing FP&A tools. Familiarity with ERP/financial systems (e.g., NetSuite). Detail-oriented, analytical thinker with excellent communication and collaboration skills. SaaS/technology industry experience and project management skills are a plus. Inclusive culture with 70+ nationalities and strong DEI focus. Modern, collaborative office in Bengaluru with hybrid work options. Flat organizational structure with direct access to decision-makers. Opportunity to work on impactful projects alongside top industry talent. Engage in Cognite community events and contribute to innovative digital transformation efforts. Excited to help shape the future of financial analytics at Cognite? Apply now! Qualification : Bachelors degree in Finance, Accounting, Economics, Data Science, or related (Masters/MBA preferred).

Senior Data Scientist Location: Bangalore, Karnataka, India Department: DAC Experience Required: 4 6 Years Education: B.E./B.Tech or equivalent Open Positions: 10 About the Role This is an exciting opportunity to apply your technical expertise while mentoring junior data scientists, influencing technical strategies, and ensuring the highest quality of data-driven decision-making. Key Responsibilities Data Science & Analytics Translate business problems into testable hypotheses and develop proofs of concept. Build and deploy predictive models and machine learning solutions using Python, SQL, and cloud platforms. Use advanced statistical techniques, data mining, and visualization to derive insights from structured and unstructured data. Collaborate with stakeholders to deliver actionable insights and ensure analytical solutions are effectively communicated to both technical and non-technical audiences. Design experiments, conduct hypothesis testing, and create data-driven narratives to support decision-making. Technical Leadership Guide and mentor junior data scientists on best practices, project design, and technical execution. Conduct code reviews, ensure quality documentation, and uphold software development standards (version control, refactoring, collaborative coding). Share emerging trends and best practices in the field to foster team-wide learning. Actively participate in peer learning, technical sessions, and team knowledge-sharing. Project Management Break down complex data science projects into smaller tasks, assign responsibilities, and monitor execution. Balance business impact with execution timelines to deliver pragmatic solutions over theoretical perfection. Create and maintain documentation using standardized frameworks (e.g., CRISP-DM). Required Skills Technical (Must-Have) Advanced proficiency in Python and SQL. Expertise in Probability & Statistics, hypothesis testing, and predictive modeling. Solid hands-on experience with Machine Learning (regression, classification, clustering, etc.). Strong data visualization skills with tools like Tableau, Power BI, and libraries such as matplotlib, seaborn. Experience with cloud platforms (Azure, AWS, or GCP) and modern development tools. Non-Technical (Must-Have) Strong communication skills: Ability to present technical findings to non-technical stakeholders. Project planning, risk management, and delivery tracking experience. Leadership qualities: Mentorship, peer collaboration, and driving process improvements. Excellent written communication for documenting scientific approaches and writing whitepapers. Preferred Skills (Good to Have) Advanced Technical Skills Expertise in areas like NLP, Deep Learning, Reinforcement Learning, Graph ML, or Time Series Forecasting. Hands-on deployment experience using MLOps tools and advanced cloud-native services. Solutioning Acumen Ability to break down complex business challenges and match them with the most effective technical solutions. What Makes You a Great Fit You are a problem solver with a deep understanding of machine learning applications. You thrive in a collaborative environment and excel at mentoring others while growing your own skills. You are motivated by impact and have the ability to translate raw data into strategic insights. Perks & Benefits Opportunity to work on cutting-edge, enterprise-scale problems. Be a part of a collaborative, intellectually curious team. Mentorship and career development support. Access to advanced tools, resources, and cloud technologies.

Senior Software Engineer - Systems Location: Bangalore Experience: 4 6 Years Company: Mphasis Job Summary We are looking for a talented and passionate Storage QA/Test Engineer with 4 to 5 years of experience in manual systems testing. The ideal candidate should have a strong understanding of server architecture, storage protocols, and hands-on experience with functional testing, as well as the ability to design test cases and plans. Technical Skills (Mandatory) Expert in understanding Server Architecture, HBA adapters, and CNA adapters Strong knowledge of OS (Linux / Windows / VMware) system-level concepts In-depth expertise in Storage protocols: SAS, SCSI, SATA, iSCSI, DAS, NVMe, SSD, HDD Experience in Zoning, LUN masking, LUN configurations & representations Hands-on experience in Functional testing Design and development of test cases and test plans Familiarity with storage products like 3PAR, Alletra/Primera, Nimble, DELL, Cisco Proficiency in Shell scripting & Python Ability to prepare file defect reports and report test progress Excellent analytical, problem-solving, and debugging skills Strong communication skills Desired Skills Experience with Server bring up, OS deployment, and firmware installation Basic understanding of networking concepts Proficiency in Python/Golang/Selenium to automate test cases and debug frameworks Experience with GitHub version control and CI/CD (Jenkins) Ability to collaborate with Lab and Development teams Process Skills Participate as a team member and foster teamwork by collaborating within project modules Communicate effectively with stakeholders to ensure client satisfaction Train and coach project members for effective knowledge management Behavioral Skills Proactive attitude towards learning new technologies and solving complex technical problems Quick learner and excellent team player Excellent communication skills Certifications ISTQB certification is an added advantage (but not mandatory) About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back Transformation approach, leveraging the exponential power of cloud and cognitive technologies. The company s Service Transformation helps enterprises modernize legacy environments, ensuring they stay ahead in a changing world. Skill Breakdown Primary Competency: Storage Technologies Primary Skill: Manual Testing (60%) Secondary Competency: Server Technologies Secondary Skill: Hardware Testing (30%) Tertiary Competency: Server Technologies Tertiary Skill: Functional Testing (Server) (10%)

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

Chief Analytics Office (CAO) - Data Scientist Location: Bangalore, Karnataka, India Job Type: Full-Time Experience Level: 2-4 years Company: IBM Chief Analytics Office (CAO) Introduction: At IBM, we believe in the power of AI and data science to transform enterprises. In the Chief Analytics Office (CAO), we work on the front lines of AI-driven enterprise transformations. By joining our team, you will collaborate with innovative leaders and contribute to solving complex problems using the latest AI and machine learning technologies. Here, your skills will not only be valued but nurtured in a dynamic, collaborative environment designed for growth and impact. Role Overview: As a Data Scientist within IBM's Chief Analytics Office, you will play a critical role in driving AI and data science initiatives across the enterprise. You will use your technical expertise to develop and deploy machine learning models and data analytics solutions that align with business objectives. This role is focused on translating data insights into actionable recommendations and leading data science projects from concept to execution. Key Responsibilities: Technical Execution and Leadership: Develop and deploy AI models and data analytics solutions. Assist in the implementation and optimization of AI-driven strategies aligned with business stakeholder requirements. Refine data-driven methodologies for enterprise transformation projects. Data Science and AI: Design, implement, and optimize machine learning solutions and statistical models. Perform end-to-end data analysis, from problem formulation through to deployment. Ensure the scalability of AI solutions by leveraging cloud platforms. Apply IBM s data science standards and reusable assets to ensure quality and consistency. Project Support: Lead and contribute across various stages of AI and data science projects, from data exploration to model development and deployment. Monitor project timelines and assist in resolving any technical challenges. Design and implement measurement frameworks to assess the business impact of AI solutions using KPIs. Collaboration: Work closely with stakeholders to ensure alignment with strategic goals. Collaborate with data engineers, software developers, and other team members to integrate AI solutions into existing systems. Provide technical expertise to cross-functional teams, fostering a collaborative environment. Required Education and Experience: Education: Bachelor s or Master s degree in Computer Science, Data Science, Statistics, or a related field. An advanced degree is strongly preferred. Experience: 2-4 years of experience in data science, AI, or analytics, with a focus on implementing data-driven solutions. Experience with data cleaning, data analysis, A/B testing, and data visualization. Hands-on experience with AI technologies through coursework or projects. Required Technical Skills: Programming and Data Analysis: Proficiency in SQL and Python for data analysis and developing machine learning models. Familiarity with machine learning algorithms such as linear regression, decision trees, random forests, gradient boosting (e.g., XGBoost, LightGBM), neural networks, and deep learning frameworks (e.g., TensorFlow, PyTorch). Cloud Platforms & Data Processing: Experience with cloud-based platforms (e.g., AWS, Azure, IBM Cloud) and data processing frameworks. Specialized Knowledge: Knowledge of large language models (LLMs) and familiarity with IBM s WatsonX product suite. Familiarity with object-oriented programming (OOP) principles. Analytical and Soft Skills: Problem-Solving: Strong analytical skills with the ability to solve complex problems and derive actionable insights from datasets. Communication: Excellent communication skills to explain technical concepts clearly to stakeholders at various levels. Project Management: Ability to handle multiple initiatives simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment. Preferred Experience: Advanced Degree: A Master s degree in a related field is strongly preferred. Impact: Work on innovative projects that directly impact enterprise transformation using the latest AI and data science techniques. Collaboration: Be part of a collaborative environment with a global team of AI experts. Growth: Develop professionally with continuous learning opportunities in the ever-evolving AI field. Work-Life Balance: IBM offers a dynamic work environment with flexibility and career growth opportunities. Apply now and join IBM's Chief Analytics Office as a Data Scientist and be part of the next generation of data-driven innovations. Qualification : A Masters degree in a related field is strongly preferred.

Job Title: Market Intelligence Manager Mode of Work: Work from Office Qualification: A Bachelor s/ Master s degree in marketing Experience: 03-10 years Location: Bangalore Department: Business About the Role: We are looking for a friendly and detail-oriented Market Research professional to join our dynamic team in the Information Technology and Services industry. In this pivotal role, you will have the opportunity to dive deep into market trends, customer behaviours, and competitive landscapes. Your findings will play a significant role in shaping our strategic decisions involving market expansions and guiding our innovations. You ll collaborate with cross-functional teams, bringing your analytical skills to the table to provide actionable recommendations that help us stay ahead in the ever-evolving tech landscape. We re not just looking for someone who can crunch numbers; we want a curious mind ready to explore and analyse data, turning it into compelling stories that resonate with our stakeholders. If you re someone who thrives on data-driven decision-making and loves the challenge of transforming raw information into strategic insights, we want to hear from you! Join us in making a difference in the tech industry and helping steer our company toward a more informed future! Skills and Requirements: Educational Background: A Bachelor s/ Master s degree in marketing, business, statistics, or a related field; a master s degree may be preferred. Work Experience: 3 10 years of experience in solid Market research. Analytical Skills: Strong analytical and critical thinking skills to interpret complex data. Technical Proficiency: Familiarity with statistical software (e.g., SPSS, SAS) and data visualization tools (e.g., Tableau) Not Mandatory. Communication Skills: Excellent written and verbal communication skills to present findings clearly. Attention to Detail: Strong attention to detail to ensure accuracy in data collection and analysis. Proven experience in market research and market data analysis, preferably in the IT sector. Ability to thrive in a fast-paced, high-pressure environment while managing multiple priorities. Strong problem-solving skills and a proactive mindset. Data Collection: Gather data through surveys, interviews, focus groups, and other methods to understand consumer preferences and market trends to provide valuable insights. Data Analysis: Analyse data using statistical software and tools to identify patterns, trends, and insights. Analyse and interpret data to inform product development and marketing strategies. Report Preparation: Prepare detailed reports and presentations that summarize research findings and provide actionable recommendations and effectively communicate research findings to stakeholders. Market Trends Monitoring: Keep track of market trends, competitor activities, and industry developments to inform strategic decisions. Monitor competitor activity and industry developments to provide strategic recommendations. Collaboration: Work with marketing, sales, and product development teams to align research findings with business strategies. Consumer Behaviour Study: Study consumer behaviour and preferences to help develop marketing strategies and product offerings. Market Research: Conduct comprehensive market research to identify trends, opportunities, and threats in the IT and services sector pertaining to the domains addressed by PIXEL. Stay up-to-date with emerging technologies and trends relevant to the industry. Utilize data analytics to monitor performance and provide actionable insights. Collaborate with leadership to align business market intelligence initiatives with organizational goals. Work closely with the various Sales, Marketing and Partnership managers to collaborate on global domain, partnership and account intelligence. Keep a track of action items post specific market intelligence findings with specific teams. Deliver pointed and specific research and market intelligence within specific timelines. Analyse, report and utilise market intelligence tools and use AI effectively to generate very specific information. Use information gathered to advise Sales / Partnership teams on next discovery steps. This job might be for you if: You enjoy solving problems. You love taking on difficult challenges and finding creative solutions. You don t get flustered easily. If you don t know the answer, you ll dig until you find it. You pay attention to the details. As far as you re concerned, anything worth doing is worth doing right, every single time. You stay focused, and nothing falls through the cracks on your watch. You think on your feet. You like learning new things, and you can learn quickly. When things change, you know how to roll with the punches. You communicate clearly. You write well, you speak eloquently and you can explain just about anything to anyone. You are motivated and driven. You are ready for new challenges without waiting to be asked. You re going to take ownership of the time you spend with us and truly make a difference. Qualification : A Bachelors/ Masters degree in marketing, business, statistics, or a related field; a masters degree may be preferred.

Job Overview Join our collaborative and creative group of AI scientists and machine learning engineers as a Senior AI Scientist! In this role, you'll be instrumental in designing, building, and deploying machine learning models in AI-native applications within our Virtual Expert Platform (VEP). You'll directly impact our customers across QuickBooks, TurboTax, Mailchimp, and Credit Karma, developing AI solutions that enhance customer success by blending AI and human expertise. You'll work on some of the most exciting challenges, from forecasting, capacity planning, optimization, and variance analytics, to recommendation systems and decision systems. The solutions you create will be a key part of multi-billion-dollar services like QuickBooks Live and TurboTax Live. Responsibilities Data Analysis & Modeling: Perform hands-on data analysis and build machine learning models using large datasets. Apply data mining, machine learning (both supervised and unsupervised) to improve algorithms related to relevance and personalization. Collaboration: Work closely with product managers, software engineers, and designers to design experiments and develop minimum viable products (MVPs) that leverage AI technologies. Feature Creation & Refinement: Develop features from raw data, continuously refining models to enhance performance. You'll be experimenting with different features and applying your intuition to make improvements. A/B Testing & Optimization: Run A/B tests, collect data, perform statistical analysis, and assess the impact of your optimizations. Communicate the results to both peers and leaders. Product & Service Innovation: Collaborate with business planners to propose innovative AI-driven products and services. Ensure that AI s power is fully integrated into new services. Infrastructure Collaboration: Work with infrastructure architects to streamline systems and improve data governance for agile and responsive data manipulation. Research & Thought Leadership: Introduce cutting-edge academic or industry research to Intuit leadership to solve complex problems and fuel new business opportunities. Mentorship & Community Building: Serve as an advisor and mentor, helping to grow and nurture a vibrant AI practice within the organization. Qualifications Education: MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field. Experience: 5+ years of experience building AI systems using data mining algorithms and statistical modeling techniques, including: Clustering, Classification, Regression, Decision Trees, Neural Networks, Support Vector Machines, Anomaly Detection, Recommender Systems, Sequential Pattern Discovery, Text Mining, and more. 2+ years of experience in a lead or management role within AI/Data Science. Technical Skills: Proficient in Python and familiar with version control systems like Git/GitHub. Experience with distributed computing and distributed databases (e.g., Hadoop, NoSQL, Hive, Pig). Strong understanding of mathematical concepts and the ability to apply them to create original solutions. Preferred: PhD in a related field. Proven experience working with large-scale machine learning techniques and datasets. Deep experience with Hadoop and related programming environments. Strong problem-solving skills and the ability to communicate complex ideas to both technical and non-technical stakeholders. Soft Skills: Excellent communication skills and experience influencing at an executive level. Strong interpersonal skills for collaborating with technical teams and making impactful presentations to diverse stakeholders. This is an exciting opportunity to be part of a highly innovative team at the forefront of AI and machine learning. You'll be solving complex, high-impact problems that directly influence customer experiences across multiple industries. The role offers the chance to lead cutting-edge AI projects while mentoring a talented team and driving the development of transformative AI-powered solutions. Qualification : MS or PhD in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or related field.

Your Impact As a Data Science Analyst at McKinsey, you will collaborate closely with the Insights & Analytics (IA) group and consulting teams to solve analytically complex client problems in the marketing domain. You will apply advanced analytical and modeling techniques, drawing insights through statistical techniques and predictive modeling to guide marketing efforts. Your primary responsibility will be client service, with an additional focus on knowledge development within the team. Key activities will include: Performing statistical analysis and modeling to support marketing-related client engagements. Developing and refining statistical models aimed at optimizing pricing strategies and promotional activities. Providing guidance to teams on analytics projects, particularly on technique and modeling-related issues. Supporting the development and maintenance of McKinsey s proprietary marketing techniques and contributing to other knowledge development initiatives. Coaching and mentoring new hires by sharing your business, technical, and functional expertise. Delivering high-quality, client-ready end products on time, with attention to detail and performing quality checks as required. Your Growth You will be a key part of McKinsey s Growth, Marketing & Sales (GM&S) team, based in either Gurgaon or Bengaluru, primarily supporting the Insights & Analytics (IA) group of GM&S. This team leverages McKinsey's decades of experience in marketing and sales to help leading companies improve pricing, promotions, assortments, and performance management. The GM&S Solutions team blends cutting-edge software, tailored services, and deep expertise to provide clients with a comprehensive view of their commercial and financial performance. By integrating various data sources into a central data warehouse, the team enables clients to make informed decisions using advanced analytics. McKinsey Solutions fosters innovation in areas such as design thinking, mobile, and social, helping to reshape the consulting model toward asset-based solutions. This is a growing area within McKinsey, with a vibrant ecosystem of alliances, strategic acquisitions, and the development of new products and services that redefine how McKinsey works with clients. As part of McKinsey Solutions, you ll be part of a team of more than 1,000 dedicated professionals, including over 800 analysts and data scientists, working on impactful, innovative solutions. Your Qualifications and Skills Mandatory: Master s degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background. 2+ years of relevant work experience in analytics, business intelligence, or advanced analytics with an analytics firm. Proficiency in statistical programming software such as Python, and comfortable working with large datasets. Familiarity with R and SQL is also preferred. Experience in handling large volumes of data, including data manipulation, data cleansing, and data matching using tools like R, SQL, and Excel VBA. Strong analytical and problem-solving skills, with the ability to break down complex issues, identify root causes, and recommend actionable solutions. Knowledge of forecasting, regression analysis, and segmentation methodologies. Experience with modeling techniques, including logistic regression, linear regression, cluster analysis, CHAID, and similar approaches. Industry experience in consumer goods, telecom, or retail is a plus. Ability to thrive in a dynamic and evolving environment where priorities change frequently, and methodologies are often challenged. Capacity to work efficiently under pressure and meet tight deadlines. Qualification : Masters degree in Statistics, Economics, Econometrics, Computer Science, Engineering, Mathematics, or an MBA with a strong quantitative background.

Job Title: Associate Technical Architect Software Development Experience Level: 6+ years Location: Mumbai / Bangalore About Us At Quantiphi, technology drives our business, but our diverse and inclusive culture powers our success. We believe in fostering an environment built on transparency, integrity, learning, and growth all while valuing each individual s unique contribution. If you re excited to work in a collaborative space that encourages innovation and helps you grow both professionally and personally, we would love to have you on board! Role Overview We are seeking a Software Architect with a passion for combining design and programming. In this role, you will translate UI/UX wireframes into functional, high-performance code and shape the visual and technical structure of our applications. You will collaborate closely with designers and developers, ensuring seamless design-to-code translation and optimal user experiences. Key Responsibilities Develop new user-facing features and front-end components. Design and implement scalable, stateless/stateful APIs that integrate with UI, databases, and external systems. Apply industry-standard security best practices across application development. Build reusable code and libraries to drive efficiency. Ensure UI/UX designs are technically feasible. Optimize applications for speed, responsiveness, and scalability. Collaborate closely with designers, developers, and stakeholders to deliver high-quality solutions. Architect cloud-native and scalable applications. Technical Skills Required Strong proficiency in Node.js, Angular, and React.js. Experience with jQuery, JSON, AJAX, RESTful web services. Expertise in JavaScript frameworks/libraries (Node.js, AngularJS, ReactJS, Jasmine, Ember). Proficiency in build tools like Grunt, Gulp, and Bower. Deep understanding of front-end technologies: HTML5, CSS3, JavaScript (ES6+), jQuery. Hands-on experience with client-side MVC frameworks (Node.js, ReactJS, NextJS, Redux, AngularJS). Strong database skills, including data modeling and query optimization (MySQL, PostgreSQL, MongoDB, DynamoDB). Expertise in building secure REST APIs. Understanding of cross-browser compatibility and responsive design. Proficient in code versioning tools like Git. Good knowledge of SEO principles. Strong grasp of front-end frameworks like Bootstrap and Material UI, along with preprocessors like SASS/LESS. Experience in object-oriented design and software design patterns. Excellent debugging and creative problem-solving skills. Leadership & Collaboration Lead technical teams and mentor junior developers to accelerate performance. Drive code reviews and enforce best practices to maintain high code quality. Provide technical thought leadership and introduce best practices to the project. Manage stakeholder expectations and resolve conflicts effectively. Clearly communicate technical concepts to both technical and non-technical audiences. Collaborate across departments (BA, Designers, QA, Architects) to ensure successful delivery. Nice to Have Experience working with cloud platforms like Google Cloud, AWS, Azure. Knowledge of microservices architecture and API gateway integration. Familiarity with design tools such as Photoshop, Illustrator, Figma, Sketch, XD. Experience with containerization (Docker/Kubernetes) and distributed computing. Exposure to Elasticsearch. Hands-on with Agile methodologies, TDD, Pair Programming, and Rapid Prototyping. Experience documenting technical design and processes. Knowledge of Apollo, GraphQL, Moment.js is a plus. Experience with UX/UI design is an added advantage. If you thrive in a fast-paced environment, love solving complex challenges, and enjoy collaborating with passionate teammates, Quantiphi is the place for you!

About the job At Google, data drives all of our decision-making. Quantitative Analysts work all across the organization to help shape Google's business and technical strategies by processing, analyzing and interpreting huge data sets. Using analytical excellence and statistical methods, you mine through data to identify opportunities for Google and our clients to operate more efficiently, from enhancing advertising efficacy to network infrastructure optimization to studying user behavior. As an analyst, you do more than just crunch the numbers. You work with Engineers, Product Managers, Sales Associates and Marketing teams to adjust Google's practices according to your findings. Identifying the problem is only half the job; you also figure out the solution. Responsibilities Interact cross-functionally with a variety of leaders and teams, and work with Engineers and Product Managers to identify opportunities for design and to assess improvements for advertising measurement products. Collaborate with teams to define questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, bidding etc., and develop and implement quantitative methods to answer those questions. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct analyses that include data gathering and requirements specification, exploratory data analysis (EDA), model development, and delivery of results to business partners and executives. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop knowledge of Google data structures,metrics, advocating for changes where needed for product development. Minimum qualifications: Master's degree in Statistics or Economics, a related field, or equivalent practical experience. 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience with statistical data analysis such as linear models, multivariate analysis, causal inference, or sampling methods. Experience with statistical software (e.g., SQL, R, Python, MATLAB, pandas) and database languages along with Statistical Analysis, Modeling and Inference. Preferred qualifications: Experience translating analysis results into business recommendations. Experience understanding potential outcomes framework and with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). Experience selecting tools to solve data analysis issues. Experience articulating business questions and using data to find a solution. Knowledge of structural econometric methods. Qualification : Master's degree in Statistics or Economics, a related field, or equivalent practical experience.

About ICON: ICON is a world-leading healthcare intelligence and clinical research organization that accelerates the development of drugs and medical devices aimed at improving quality of life and saving lives. We offer outsourced services to pharmaceutical, biotechnology, medical device companies, and government/public health organizations. At the core of ICON s success is our people driven by passion, excellence, and a strong mission to succeed. Role Overview: The Senior ADaM Programmer will be responsible for creating and validating Safety and Efficacy analysis datasets, tables, listings, and figures in adherence with CDISC and client-specific standards. This position requires advanced skills in programming, effective time management, and proactive problem-solving to ensure high-quality deliverables in line with project timelines. Key Responsibilities: Programming & Data Analysis: Create and Validate ADaM Datasets for safety and efficacy domains, ensuring high quality and accuracy. Develop Safety and Efficacy Tables, Listings, and Figures to meet study specifications. Design and finalize study-specific macros and programming specifications/mock-ups. Troubleshoot and resolve programming issues in a timely and efficient manner. Adhere to programming specifications and study-specific requirements, ensuring complete documentation. Project Management & Collaboration: Plan, organize, and allocate tasks to ensure effective resource planning and adherence to project timelines. Proactively track workload and progress in accordance with KPIs and quality standards. Collaborate effectively with the biostatistics team, remote teams, senior programming staff, management, and sponsors to achieve study goals. Quality Control & Documentation: Maintain quality control and ensure the datasets are accurate and meet CDISC standards. Ensure compliance with industry regulations, standard operating procedures, and best practices in clinical programming. Required Qualifications: 6+ years of experience in ADaM programming and R. Strong proficiency in SAS programming, including SAS/Base, PROC SQL, SAS/Stat, SAS Macros, and SAS/Graph (both basic and advanced). Experience in creating ADaM datasets for safety and efficacy domains. Strong problem-solving skills, with attention to detail and ability to work independently and as part of a team. Verbal and written communication skills that ensure effective collaboration across teams and stakeholders. Benefits of Working at ICON: At ICON, we prioritize continuous learning and professional development. Our total reward package includes: Competitive base salary along with variable pay and recognition programs. Comprehensive benefits including health insurance, retirement planning, and more. Employee wellbeing initiatives that support you and your family throughout your career. A collaborative, inclusive work culture where diversity and career growth are encouraged. Diversity & Inclusion at ICON: ICON is an equal opportunity employer, committed to creating a workplace free from discrimination and harassment. We value diversity and encourage applicants from all backgrounds to apply. All qualified applicants will receive equal consideration for employment, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. How to Apply: If you're ready to contribute your skills to global healthcare solutions, apply now to join the ICON team and make a meaningful impact on patients lives around the world. This role presents an exciting opportunity for professionals looking to advance their programming career within a global leader in clinical research.

About ICON: ICON is a world leader in healthcare intelligence and clinical research. We are at the forefront of advancing clinical research, providing essential outsourced services to the pharmaceutical, biotechnology, and medical device industries. ICON s success is driven by the dedication and expertise of its people, who share a commitment to improving the lives of patients. Role Overview: As a Jr. Statistical Programmer, you will contribute to clinical research by performing programming tasks related to statistical analysis. You will be responsible for ensuring timely completion of programming activities, maintaining compliance with industry standards, and assisting with the development of clinical trial data. This role is ideal for someone with 3+ years of SAS Programming and R experience, looking to grow in the clinical research field. Key Responsibilities: Programming and Analysis: Develop an understanding of applicable policies, procedures, and industry standards. Complete programming tasks under supervision, ensuring accuracy and timely completion. Demonstrate programming expertise with a focus on SAS and R, assisting with statistical analysis tasks. Identify gaps in current programming practices and propose improvements. Adhere to industry standards, and stay updated with evolving best practices and regulations. Team Collaboration: Work effectively as part of a team, contributing to the success of clinical studies. Take responsibility for your assigned tasks, ensuring they are completed on time and in alignment with the team s goals. Required Qualifications: 3+ years of experience in SAS Programming and R. Strong programming and domain expertise in statistical programming. Ability to execute a wide range of programming activities with minimal supervision. Awareness of evolving industry standards and the ability to suggest improvements to existing practices. Benefits of Working at ICON: Competitive salary with variable pay and recognition programs. Comprehensive benefits package, including health insurance and retirement planning. Work-life balance initiatives, including flexible working hours and additional country-specific benefits such as childcare vouchers, gym memberships, and health assessments. Access to Global Employee Assistance Programme (TELUS Health), offering 24-hour support from a global network of specialists. Life assurance and other family-focused benefits. Why Choose ICON? ICON is committed to building a diverse and inclusive culture where talent is nurtured and rewarded. Our success depends on the collective strength of our people, and we offer ample opportunities for growth and career development. If you are passionate about making a difference in clinical research and want to work in a dynamic, supportive environment, we encourage you to apply. Qualification : 3+ years of experience in SAS Programming and R.

Introduction: In this role, you will be responsible for extracting and visualizing data from large, complex datasets to identify key signals that will drive product performance improvements. This includes performing correlation analysis, identifying patterns, and engaging with key stakeholders to initiate further analysis. You will also provide feedback to design, fab, test, and diagnostic teams to drive product improvements and corrective actions. The position demands technical expertise in data analysis, statistical techniques, and the use of machine learning, along with strong skills in programming languages such as Python and SQL. You will play a key role in supporting IBM's microprocessor products through various stages of development, characterization, and diagnostics. Responsibilities: Data Extraction and Analysis: Extract and generate data sets for correlation analysis, identifying key signals and engaging relevant stakeholders for deeper analysis. Product Behavior Reporting: Standard reporting of product behaviors, including yield and performance metrics, to ensure alignment with target specifications. Diagnostic and Performance Optimization: Drive product performance and yield improvement by using data analysis techniques and algorithms. Feedback and Collaboration: Provide critical feedback to the design, fab, test, and diagnostic teams to enable corrective actions and improvements in the respective areas. Technology Characterization: Focus on product development, product requirements, product test and yield analysis to identify design-process sensitivities. Failure Analysis and Diagnostics: Root cause product failures and conduct product diagnostics to improve performance and reliability. Yield and Reliability Analysis: Optimize power-performance characteristics, conduct product qualification, and analyze circuit-limited yield and system-level dependencies. Required Education and Experience: Bachelor's Degree (required) in Electrical Engineering (EE), Computer Science (CS), or Data Science. Master's Degree (preferred) in a relevant field. Technical Expertise: Proficiency in Data Analysis: Experience applying statistical techniques and machine learning to analyze complex datasets. Advanced Programming Skills: Expertise in Python (especially data science libraries such as Pandas, Plotly, Scipy, Sklearn, etc.) and SQL for data analysis and manipulation. Java Knowledge: Familiarity with Java is a plus. Device Physics Knowledge: A strong understanding of CMOS operation, device physics, and hardware characterization. Semiconductor Process and Technology Knowledge: Demonstrated knowledge of semiconductor process, technology, reliability, and yield analysis, especially related to SRAM and processors. Wafer Test and Yield Modelling: Experience in wafer test and yield modeling is a plus. What We Offer: A dynamic and challenging role in an innovative and highly technical environment. The opportunity to contribute to the development and enhancement of industry-leading microprocessor products. Competitive compensation and benefits, including opportunities for skill development and career growth. A collaborative, cross-functional team atmosphere where your ideas and insights will drive the future of IBM products. About IBM: At IBM, we create products that power the world s most important industries. From cloud computing to AI, IBM's technologies shape the way businesses and people interact with technology, and our product characterization and data analytics team is at the heart of innovation. Join us to work on cutting-edge products, contribute to groundbreaking advancements in microprocessor technology, and help shape the future of IBM products. If you're passionate about product development, data analytics, and semiconductor technology, apply today to become a part of the IBM Infrastructure Team! Qualification : A Bachelors / Masters in EE/ CS / Data Science is required.

Job Title: AI/ML Engineer Location: Bangalore Experience: 4 5 Years Qualification: Bachelor s or Master s Degree in Computer Science or a related field Job Description Design and develop machine learning and deep learning systems tailored to business needs. Select and preprocess appropriate datasets; implement and optimize ML algorithms. Conduct machine learning experiments, run tests, and perform statistical analysis to fine-tune models. Train, retrain, and maintain ML systems to ensure accuracy and performance. Extend and customize existing ML libraries and frameworks. Stay updated with the latest research and advancements in machine learning and AI. Requirements Proven experience as a Machine Learning Engineer or similar role. Strong understanding of data structures, data modeling, and software architecture. Deep knowledge of mathematics, probability, statistics, and algorithms relevant to ML. Proficiency in writing clean, robust code in Python. Experience with ML frameworks such as TensorFlow or PyTorch, and libraries like scikit-learn. Skilled in deploying ML models and developing APIs for production environments. Experience with AWS cloud and ML services; knowledge of SageMaker is a plus. Qualification : Bachelors or Masters Degree in Computer Science or a related field

Position: Security Engineer-2 Location: Bengaluru Employment Type: Full-Time Department: Engineering Job Description: We are seeking a proactive and skilled Security Engineer-2 to identify vulnerabilities, collaborate with development teams on mitigation strategies, and promote secure coding practices within the organization. You will play a critical role in ensuring the security and resilience of our products against emerging threats. Key Responsibilities: Conduct in-depth security assessments of products to discover vulnerabilities and demonstrate their exploitability and risk impact. Stay updated on emerging vulnerabilities and threats relevant to our products through independent research. Collaborate with developers to develop and implement mitigation and workaround plans according to security policies. Lead threat modeling and secure design review sessions with development teams to identify threats and define mitigation strategies. Conduct workshops to educate developers on threat modeling and secure coding principles. Prioritize and ensure mitigation of critical security defects during development sprints. Integrate and automate Static Application Security Testing (SAST) within the DevOps pipeline. Advocate and propagate secure coding principles across the development community. Serve as the primary point of contact for developers on critical secure development issues. Develop and deliver security training programs and technical workshops for developers and QA teams. Promote security awareness through tech talks and other knowledge-sharing activities. Required Qualifications and Skills: Strong knowledge of common vulnerabilities such as Cross-Site Scripting (XSS), SQL Injection, Cross-Site Request Forgery (CSRF), cryptographic weaknesses, and code injection. Proficiency in programming/scripting languages like Java, Ruby, and Python. Experience with cloud technologies and services. Ability to automate security testing processes and improve assessment productivity. Excellent communication skills to articulate security risks to both technical and non-technical audiences. Familiarity with industry-standard threat modeling, risk assessment, and vulnerability classification methodologies. Experience conducting white-box and grey-box security assessments, including architectural and API analysis. Knowledge of Secure Software Development Lifecycle (S-SDLC) and CI/CD integration. Bachelor s degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience in software engineering or security. Minimum 3 years of experience in application security or related security assessment roles. Deep understanding of attack vectors, exploits, and mitigation techniques, including chained attacks. Experience with languages such as Java, Go, Python, or Node.js (knowledge of multiple is a plus). Experience assessing cloud-native services, service meshes, and Kubernetes-based microservices. Strong problem-solving skills, able to think both offensively (like a hacker) and defensively (product security evaluation). Ability to learn new technologies and apply unconventional thinking to complex security challenges. Qualification : Bachelors degree in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience in software engineering or security

Position Title: Data Architect Department: R&D Engineering Location: Bangalore Experience: 15+ Years Industry: SaaS / Conversational Engagement / Customer Experience Technology About Acqueon: Acqueon is a leading provider of conversational engagement software that enables customer-centric enterprises to proactively engage with their customers across voice, messaging, and email channels. By leveraging a powerful data platform, predictive models, and intelligent workflows, we help brands enhance customer experience, improve collections, and drive revenue growth. With over 200 global clients, Acqueon is at the forefront of AI-powered customer engagement. Role Overview: We are seeking a visionary and technically hands-on Data Architect to lead the development of enterprise-scale data platforms and engineering solutions. You will work closely with Product Owners, Engineering Leadership, and cross-functional teams to define and execute a strategic technology roadmap aligned with Acqueon s business goals. As a key member of our R&D team, you ll lead the design and development of highly scalable, low-latency, fault-tolerant data systems, while mentoring top-tier engineering talent and driving high-impact product features. Key Responsibilities: Architect & Lead: Design and lead development of scalable data architectures and solutions supporting real-time and batch processing, analytics, and enterprise applications. Strategic Ownership: Define and implement the data strategy, technology roadmap, and long-term architecture vision for Acqueon s platforms. Leadership: Manage and mentor a team of senior developers and engineers, fostering innovation, ownership, and delivery excellence. Cross-functional Collaboration: Work with Product, Sales, Engineering, and Customer teams to align on feature development and delivery strategy. Project Management: Oversee the end-to-end delivery of complex features, ensuring adherence to timelines, scalability, and quality standards. System Design: Review architecture and design for robustness, performance, and fault tolerance, including multi-region, high-availability setups. R&D Enablement: Collaborate with international R&D teams and align development efforts across global product initiatives. Innovation & Optimization: Drive architectural decisions, recommend performance improvements, and ensure best practices for enterprise-scale data solutions. Required Skills & Experience: Education: Bachelor s or Master s in Computer Science, IT, or related field. Experience: 15+ years in software development and data architecture, with leadership experience in managing engineering teams. Architecture Expertise: Proven experience in designing scalable, concurrent, distributed, and highly available data systems. Database Proficiency: Strong in SQL/NoSQL databases Experience with MS SQL, Aerospike, DynamoDB, Snowflake In-depth knowledge of micro-partitions, cluster keys, warehouse cloning, time travel in Snowflake Strong in writing and tuning complex stored procedures ETL & Pipelines: Experience in building ETL pipelines and integrating data from S3, Kinesis Streams, APIs Cloud & DevOps: Strong understanding of Docker, AWS, and cloud-native deployment architectures Setting up multi-region resilience, disaster recovery strategies Technologies: Elasticsearch, AWS data services, container orchestration Big Data & Analytics: Exposure to analytical processing and statistical modeling is a plus Leadership: Strong project management skills, stakeholder engagement, and team mentoring experience Preferred Qualifications: Background in customer engagement, VDI, Cybersecurity, or Secure Access technologies Previous experience working with distributed R&D and product teams Knowledge of Acqueon, Citrix, VMware, Omnissa platforms is a plus Certifications in AWS, Snowflake, or similar technologies are an advantage Soft Skills & Behavioral Traits: Strong verbal and written communication skills Strategic thinking with hands-on execution ability High accountability and ownership mindset Ability to work in a fast-paced, dynamic, startup-like environment Comfortable with ambiguity and context-switching Team player with the ability to lead by influence and collaboration Be a part of a fast-growing, AI-driven SaaS company disrupting the customer engagement space Work on cutting-edge technologies with global product teams Ownership of end-to-end solutions and ability to shape the data platform of the future A culture that promotes innovation, agility, and career growth

Assistant Risk Modelling Manager Location: Bengaluru Department: Risk & Modelling About OneSavings Bank (OSB) Group OneSavings Bank (OSB) Group is a specialist lending and retail savings group listed on the London Stock Exchange and a member of the FTSE 250. Headquartered in Chatham, Kent, OSB is regulated by the Prudential Regulation Authority and the Financial Conduct Authority. OSB focuses on niche lending markets offering high growth and strong risk-adjusted returns, including: Buy-to-Let and commercial mortgages Residential development finance Specialist residential lending and secured funding lines We operate under trusted brands such as Kent Reliance, CCFS, InterBay Commercial, Prestige Finance, and Heritable Development Finance. Retail savings are primarily sourced through Kent Reliance via branches, online, and postal channels. Our offshore delivery and support operations are handled by OSB India, with offices in Bengaluru and Hyderabad. About OSB India Pvt Ltd OSB India, a wholly owned subsidiary of OSB Group, plays a critical role in delivering operational and customer support services. Since 2004, OSB India has focused on service excellence, process efficiency, and continuous improvement for the group s UK operations. Role Overview As the Assistant Risk Modelling Manager, you will support capital and impairment reporting, provide deep data insights, and contribute to strategic projects. This role involves analysis, stakeholder collaboration, and ensuring regulatory and internal compliance. Key Responsibilities Lead and support monthly IFRS9 impairment and IRB RWA reporting with trend analysis and insights Provide analytics to support collections and help define operational priorities Drive and deliver strategic projects, managing timelines and stakeholders Assist with IFRS9 engine code changes, conduct impact assessments, and challenge trends Identify process and model weaknesses and develop mitigating solutions Produce clear, insightful commentary for credit and audit committees, including regulatory teams Ensure compliance with model execution and operational risk requirements Maintain adherence to Finance, Risk Management, and Data Governance Policies Build strong working relationships with UK stakeholders and capture clear requirements Complete all mandatory compliance training and attestations Experience Required Minimum 7+ years in a related role in retail or mortgage finance Extensive hands-on experience in SAS, SQL, and advanced Excel Proven ability to generate and present detailed analytical and reporting outputs Experience with impairment/capital modelling processes (preferred) Comfortable managing priorities, leading tasks, and collaborating with international teams Technical & Functional Skills Expert in SAS and SQL for data analysis and reporting Working knowledge of IFRS9 (impairment) or IRB (capital) frameworks Understanding of probability/statistics in a financial risk context (preferred) Core Competencies Strong analytical thinking and problem-solving skills Effective communication skills, both written and verbal Ability to deliver clear, actionable reports to senior stakeholders Self-motivated with a proven ability to learn new technical skills and tools This role is an exciting opportunity to work at the intersection of data, risk, and strategy within a dynamic and growing financial group. If you have a strong analytical mindset and are looking to influence real business decisions, we'd love to hear from you.

Job Title: Associate Architect AI Location: Bangalore, India Employment Type: Full-Time, Regular Overview At Aptean, we design industry-specific ERP and business software that helps our customers transform operations and gain a competitive edge. With over 90 products, 4,500+ employees, and a global presence, we deliver solutions that are anything but generic. Now, we re building on that legacy by integrating cutting-edge AI into everything we do and we want you to be part of it. We are looking for an Associate Architect AI to play a key role in shaping Aptean s AI-first future. This is a hands-on, high-impact role focused on the design, development, and deployment of AI-powered solutions including smart chatbots, Retrieval-Augmented Generation (RAG) pipelines, predictive analytics, and autonomous AI agents. If you're passionate about solving real-world problems using the latest in LLMs, AI orchestration, and data automation we want to talk. Key Responsibilities Design and implement AI-led automation solutions, leveraging technologies like agentic AI and LLMs. Develop and refine structured prompts to improve AI model responses and contextual accuracy. Integrate Azure OpenAI and Microsoft Fabric AI Skills to enhance conversational AI in Fabric Lakehouse environments. Build and optimize RAG pipelines and semantic models for improved AI-driven content ingestion and understanding. Design prompts for AI agents, chatbots, and virtual assistants that automate business workflows. Research and implement best practices to minimize hallucinations, biases, and inconsistencies in AI-generated outputs. Collaborate on curating, cleaning, and preparing training datasets for machine learning models. Use Python and tools like LangChain to prototype and deploy AI-enabled solutions across multiple platforms. Monitor AI system performance, scalability, and business alignment; continuously iterate based on data and user feedback. Stay up to date with advancements in NLP, large language models (LLMs), and generative AI technologies. Qualifications Education: Bachelor s degree in Computer Science or related field (required) Master s degree (preferred) Experience: 8 12 years of experience in AI, machine learning, or data science roles Strong track record of delivering AI-driven solutions from concept to deployment Technical Skills and Competencies Hands-on experience with LLMs (e.g., GPT, Claude, Gemini, LLaMA) and AI APIs. Proficient in Python and ML frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn. Experience with Microsoft Fabric, Fabric AI Skills, and Lakehouse/Medallion architecture. Familiarity with OpenAI API, LangChain, Azure, JSON, Java, JavaScript. Strong foundation in NLP concepts, prompt engineering, and model behavior analysis. Experience developing and deploying chatbots across platforms like Microsoft Teams, SharePoint, and web portals. Understanding of statistical models (e.g., regression, clustering) and ML algorithms (e.g., decision trees, neural networks). Strong written and verbal communication skills; able to interpret and explain AI behavior clearly. Innovative thinker with a startup mindset. Comfortable in a fast-paced, collaborative environment. Passionate about AI and its transformative potential. Focused on real outcomes and user-centric design. At Aptean, we believe in growth through innovation, and AI is at the core of that vision. You'll work on high-impact projects that stretch your capabilities, in a company that values curiosity, collaboration, and continuous learning. If you're excited to lead in the age of AI, this is your moment. Diversity & Inclusion at Aptean Aptean is committed to building a workplace where everyone belongs. We value diversity in all its forms and believe our differences make us stronger. We strive to create an inclusive environment where everyone has the opportunity to grow, succeed, and contribute their best work. Qualification : Bachelors degree in Computer Science or related field (required)

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.

Senior Security Specialist Location: Bengaluru, Karnataka, India Employment Type: Full-time About Serko: Serko is a leading tech platform revolutionizing global business travel and expense technology. Joining Serko means becoming part of a passionate team of travelers and technologists dedicated to transforming the business travel marketplace. With offices worldwide and a new hub in Bengaluru, we embrace diversity and authenticity to create meaningful impact. Our fast-growing India team seeks motivated professionals to help build world-class products and experiences. Role Overview: We are looking for a highly skilled Senior Security Specialist with a strong software engineering and DevSecOps background. This role will lead security initiatives, manage risks, oversee security operations, ensure compliance, and report to senior management. You will work closely with agile development teams to embed security throughout the software development lifecycle, driving robust, scalable security solutions. Key Responsibilities: Lead integration of security practices into the DevOps lifecycle, embedding security into software development and deployment pipelines. Collaborate with development and operations teams to identify and mitigate security risks across applications, infrastructure, and pipelines. Implement and maintain security automation and orchestration tools to improve security posture and operational efficiency. Identify, assess, and manage security risks; develop and implement mitigation strategies. Oversee daily security operations, including monitoring, incident response, and threat intelligence. Ensure compliance with security policies and external standards such as PCI-DSS and SOC2. Prepare and present detailed security reports to senior management, highlighting risks and mitigation plans. Lead security awareness campaigns to educate employees on emerging threats and best practices. Stay current on emerging security technologies and trends, particularly in Azure security and DevSecOps. Evaluate and recommend security tools and solutions to enhance the organization's security posture. Qualifications & Experience: 5+ years in a senior security role focused on Security Operations, Risk Management, and Compliance within software engineering environments. Deep understanding of security attack and defense methods; hands-on experience with ethical hacking tools preferred. Proven experience with DevSecOps tools such as SAST and DAST. Expertise in Microsoft security products including Azure Security Center, Defender, Azure AD, and Sentinel. Relevant certifications such as CISSP or equivalent highly preferred. Excellent communication, presentation, and documentation skills. Strong team collaboration and leadership skills. Bachelor s degree in Computer Science, Cybersecurity, or related field; certifications may substitute for degree. What We Offer: Competitive base salary and discretionary incentive plan based on individual and company performance. Access to learning and development platforms to own your career growth. Comprehensive family medical coverage, meal coupons, transport allowances, and mobile & internet reimbursement. Flexible work policies supporting work-life balance. An engaging environment with great tools, support, and opportunities to innovate and deliver high-quality results. Qualification : Bachelors degree in Computer Science, Cybersecurity, or related field; certifications may substitute for degree.