Lead /Sr Lead -Technical Writer
Experience: 13-15+ years
Location: Bangalore

Who we are and What we do?

AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents, and enable crypto-agility. AppViewX is also certified as a Great Place to Work in India, cementing us as an employer of choice.

About the Role:

We are seeking a Lead Technical Writer with leadership capabilities to manage documentation initiatives across product lines, drive process excellence, mentor writers, and collaborate closely with Product, Engineering, UX, and Release teams. The ideal candidate has deep experience in technical content development, hands-on expertise with documentation tools and automation platforms, and an ability to leverage AI-driven content acceleration to scale the documentation function.

This role requires someone who can balance hands-on writing, people management, and strategic enablement, ensuring documentation is accurate, consistent, discoverable, and aligned with product vision.

Key Responsibilities: 

Leadership & Collaboration

• Lead a team of technical writers, providing guidance on writing standards, structure, and best practices.
• Own end-to-end documentation strategy across multiple product lines (SaaS, on-prem).
• Partner with Product Managers, UX Designers, Engineering Leads, and Release Managers to ensure timely, high-quality documentation.
• Define documentation processes, review templates, style guides, and standards for consistency.
• Support cross-functional initiatives such as onboarding experience, knowledge base development, and customer-facing documentation content.

Documentation & Technical Writing

• Create, review, and maintain high-quality technical content including product guides, Release Notes, KB articles etc
• Translate complex technical concepts (Networking, Cloud, Security, DevOps, Automation, etc.) into clear, simple, audience-appropriate documentation.
• Ensure content accuracy, readability, and alignment with product behavior and branding standards.
• Build and maintain client aids that go beyond traditional documentation, such as online videos, demos, guided tours, and other educational techniques.
• Passion for continuous learning, AI enablement, and modern documentation practices.
• Identify problem areas or structural deficiencies and proactively contribute to their improvement.

AI-Driven Documentation & Automation

• Use GenAI tools (ChatGPT, GitHub Copilot, Writer, etc.) to accelerate drafting, content summarization, quality checks, and content reuse.
• Implement AI-assisted documentation workflows (content repurposing, translation, metadata tagging).
• Contribute to structured content frameworks and knowledge models to enable future AI-driven documentation.
• Evaluate documentation automation tools and propose improvements for scale, accuracy and consistency.

Tools & Technologies:

Required:

• Documentation tools: MadCap Flare, Confluence, DITA/XML systems, Oxygen XML Editor
• Product documentation platforms: Git/GitLab/GitHub, CMS, Static site generators
• Diagramming tools: Visio, Lucidchart, Draw.io, Figma
• API documentation tools: Swagger / OpenAPI / Postman
• Content quality & proofreading tools
• AI tools for writing, content generation, and documentation automation
• Exposure to CI/CD pipelines
• Knowledge of HTML, XML, CSS, or scripting

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Communications, or related fields.
• 10–15+ years of experience in technical writing, with 3–5 years in a lead/managerial capacity.
• Strong understanding of software development lifecycle and agile methodologies.
• Strong written communication, editing, and information architecture skills.
• Ability to manage multiple projects, prioritize effectively, and deliver under tight timelines.

Why AppViewX?

AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our global footprint to India, North America, the United Kingdom, and Australia. Today, we are headquartered in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.

Lead Engineer - DevOps
Experience: 7+ years 10yrs
Location: Bangalore / Coimbatore

Who we are and What we do?

AppViewX is trusted by the world’s leading organizations to reduce risk, ensure compliance, and increase visibility through automated certificate lifecycle management. At AppViewX, you will get to work with our AVX ONE platform that provides complete certificate lifecycle management and PKI-as-a-Service using streamlined automation workflows to prevent outages, reduce security incidents and enable crypto-agility.

Glimpse of our Team
The core of AppViewX lies within its robust, flexible low code platform which is being built by the architecture team. The team designs ready to consume solutions that efficiently orchestrate and meet the scalable demands of our ever-growing customers. If you are someone who would like to develop solutions using cutting-edge technologies like Kubernetes, Containers and Service Mesh and design this low code platform then this is the right place for you!!

What will you be responsible for?

• Collaborate closely with the Product Engineering team to deliver scalable and reliable solutions
• Participate in end-to-end DevOps initiatives, addressing real-world challenges in network operations
• Work effectively with cross-functional teams to plan, estimate, and execute deliverables
• Apply industry-relevant estimation techniques to support project planning and execution
• Demonstrate strong team collaboration and ownership while driving outcomes
• Continuously learn and adopt new technologies to stay current with industry trends
• Leverage network domain expertise (preferred) to enhance solution design and troubleshooting

What do we require?

• Linux/Unix administration (Redhat/Centos preferred)
• Strong coding skills in Python combined with problem-solving skills
• Experience with AWS/Azure/Google Cloud
• In depth knowledge of Docker containers and Kubernetes.
• Hands-on experience with Helm charts and terraform scripting.
• Proficient in troubleshooting skills with proven abilities in resolving complex technical issues.
• Hands on experience with CI and CD tools (Jenkins, Nexus, Gitlab Etc.)
• Experience in working with microservices environments.
• Strong inclination for automation and test-driven development.
• Strong work ethic and ability to own projects/components

What do we desire?

• Experience with anyone of the web development frameworks (Flask/Django/Bottle) and experience with restful APIs.
• Hands-on experience with Configuration Management tools like ansible/puppet
• Experience in VMware/OpenStack/KVM/Proximo platform management is an added advantage
• Knowledge of Istio, Amazon EKS and GKE
• Working knowledge on NoSQL databases (MongoDB)
• Working Knowledge of ELK, Kibana, Grafana and Hashi Corp Vault/Consul.
• Excellent verbal and written communication skills

What brings us together?

What makes us stand out from the rest is the people. The people who push hard every day to be smarter, passionate, resilient, creative, inclusive and curious. Surrounding ourselves with a bunch of diverse and talented minds has made us what we are, and we can’t wait to see the positive impact it would have on you too!

What’s more in store?

 AppViewX is on par with leading global companies when it comes to the benefits it offers its employees, ranging from competitive incentives, health & wellness policies, saving & investment schemes, time off/sabbatical eligibility and dedicated L&D.

What we consider equally important is the flexibility we offer our employees to – work remotely, define their own hours, and more importantly harmonize both work and life. The more trust and accountability we place on our employees, the more they surpass our goals and expectations.

 Why AppViewX?

 AppViewX caters to a wide range of customers from Fortune 1000 companies, including six of the top ten global commercial banks, five of the top ten global media companies, and five of the top ten managed healthcare providers. Over the years, we grew our diverse team, perfected our automation platform, and expanded our Global footprint to India, North America, United Kingdom and Australia. Today, we are headquarters in New York City and have come a long way by optimizing opportunities to create lasting relationships with enterprises, gaining unshakable customer trust along the way.

AppViewX is proud to be an Equal Employment Opportunity Employer. It is AppViewX’s policy to afford equal employment opportunities to all employees regardless of race, color, national origin, ancestry, religion, citizenship status, , gender, gender expression or identity, sexual orientation, age, marital status, military or veteran status, pregnancy, disability, genetic information, arrest record, or other protected class under state, federal, or local law.

Role 

We are looking for a Senior Staff Software Engineer to join our ZCC Team. This is a hybrid role based in Mohali/Bangalore Location, reporting to the Senior Engineering Manager within the Engineering department. As a Senior Staff Software Engineer, you will be a key player in the entire product development lifecycle, designing and maintaining high-quality server-side software. Your deep knowledge of C programming and low-level system architecture will be crucial for creating efficient, reliable, and scalable solutions that enable organizations worldwide to harness speed and agility.

What you’ll do (Role Expectations)

• Designing, developing, coding, testing, and debugging complex software in C language
• Architecting and implementing software for resource-constrained environments including optimized memory and CPU usage
• Developing networking applications on Operating Systems like Linux or FreeBSD to ensure deterministic and reliable performance
• Mentoring junior engineers, conducting code reviews, and championing best practices in software engineering
• Creating and maintaining comprehensive technical documentation for software designs and APIs

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• 7+ years of professional experience in software development with a focus on system software
• Expert-level proficiency in C programming; experience in Java is a plus
• Strong hands-on experience with Operating Systems such as Linux or FreeBSD
• Proficiency in using debugging tools including GDB and logic analyzers
• Experience with version control systems, particularly GitLab

What Will Make You Stand Out (Preferred Qualifications)

• Solid understanding of computer architecture, memory management, and concurrency
• Knowledge of networking protocols including TCP/IP and UDP

#LI-RG

#LI-Hybrid

Role

We are looking for a Staff Detection Engineer to join our Zscaler Threat Hunting team, reporting to the Senior Manager, Zscaler Threat Hunting. You will combine threat research and engineering expertise to build the next generation of detections across AWS and cloud infrastructures. By leveraging big data platforms like Hadoop and Athena, you will design scalable hunting logic and automated pipelines to defend our global footprint and enhance threat visibility.

What you’ll do (Role Expectations)

• Combine threat research and engineering expertise to develop advanced detections and hunting logic using Python and AWS infrastructure

• Design, scale, and maintain engineering projects, including GitLab pipelines and repeatable deployment steps to improve hunting efficiency

• Develop YAML-based detections and SIGMA-like rule technologies while migrating existing hunting detections to next-generation systems

• Utilize data platforms like Hadoop, Athena, and data lakes to monitor and test new intelligence sources for enhanced threat visibility

• Independently write detections and playbooks while supporting operational demands, including weekend night shifts and on-call rotations

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.

• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.

• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.

• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Proven experience in detection engineering, threat hunting, security operations, or malware analysis

• Hands-on experience developing and implementing detection rules in SIEM tools such as Splunk, Microsoft Sentinel, or ElasticSearch

• Deep familiarity with the MITRE ATT&CK framework and experience translating TTPs into actionable detection logic

• Bachelor’s or graduate degree in Computer Science, Engineering, or a related discipline, or equivalent security industry experience

• Ability to work flexible schedules, including weekend night shifts, to meet global operational demands

What Will Make You Stand Out (Preferred Qualifications)

• Significant experience as a Senior Detection Engineer leading complex detection strategies and mentoring junior team members

• Expertise in validating detection logic, performing root cause analysis of failures, and delivering platform improvement recommendations

• Advanced scripting and automation skills in Python for developing and managing complex detection infrastructure

#LI-Hybrid #LI-PM5

Role 

We are looking for a Principal Software Engineer to join our team. This is a hybrid role based in Mohali/India, reporting to the Director, Software Engineering within the Shared Platform Services department. As a technical leader, you will drive the evolution of our platform by designing and building scalable, high-performance microservices. You will bridge the gap between architectural vision and hands-on execution to deliver robust APIs that power our global infrastructure.

What you’ll do (Role Expectations)

• Develop high-quality, performant, and secure APIs and microservices that are reusable and extensible
• Collaborate with front-end engineers to define and deliver endpoints for high-quality user interfaces
• Lead DevOps initiatives including continuous integration, provisioning, and software version control
• Design and extend in-house APIs and client-side code using RESTful standards and SDKs
• Drive strategic contributions to system design and long-term platform architecture

Who You Are (Success Profile)

• You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.
• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.

What We’re Looking for (Minimum Qualifications)

• Deep expertise in hands-on software application development for complex, large-scale systems
• Proficiency with Quarkus (Mutiny) and Spring (Webflux) reactive frameworks
• Experience building cloud-native distributed applications with Dapr and Kubernetes
• Background in containerized deployment using Docker and Kubernetes on AWS, GCP, or similar cloud providers
• Ability to work independently and pivot quickly in a fast-paced Agile environment

What Will Make You Stand Out (Preferred Qualifications)

• Advanced knowledge of Docker/Kubernetes and container infrastructure internals
• Polyglot coding ability with comfort switching between Java, Go, and Python
• Direct experience building and managing Gitlab CI/CD pipelines

#LI-Hybrid #LI-SU1

Why Verifone

For more than 30 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide.

Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success.

Verifone is proudly an in-office work culture as we see immense benefits to career development and business results from our colleagues being physically co-located

About the Role

We are looking for an experienced QA Engineer with a strong background in test automation and fintech systems. The ideal candidate will play a key role in ensuring the quality, reliability, and security of mission-critical financial applications.

Key Responsibilities

• Design, develop, and maintain automated test frameworks for web and API applications
• Perform functional, regression, integration, and system testing
• Collaborate closely with developers, product managers, and DevOps teams
• Validate data accuracy, transaction flows, and business rules in financial systems
• Execute API testing and backend validation
• Integrate automated tests into CI/CD pipelines
• Identify, document, and track defects through resolution
• Ensure compliance with quality standards and fintech regulations 

Required Skills & Experience

• 5+ years of experience in Quality Assurance
• Strong experience in test automation (Selenium / Cypress / Playwright / Appium)
• Proficiency in at least one programming language (Java, Python, JavaScript)
• Experience testing fintech applications (banking, payments, trading, lending, etc.)
• Hands-on experience with API testing (Postman, RestAssured, etc.)
• Familiarity with CI/CD tools (Jenkins, GitLab CI, GitHub Actions)
• Strong understanding of SDLC and Agile methodologies
• Excellent analytical and problem-solving skills

Nice to Have

• Experience with performance testing (JMeter)
• Knowledge of security testing and compliance standards (PCI-DSS, SOC2)
• Experience with cloud platforms (AWS, Azure, GCP)
• Exposure to microservices architecture

Why Join Us

• Work on cutting-edge fintech products
• High ownership and impact role
• Collaborative and growth-oriented environment

Our commitment

Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

When was the last occasion you had the opportunity to contribute to a company that is shaping an industry and empowering individuals to translate ideas into tangible impact with speed? Smartsheet's core mission is to empower everyone to enhance their work processes. Our business model is founded on identifying exceptional talent and providing them with the autonomy to develop our acclaimed Software as a Service (SaaS) offering. With a user base exceeding 10 million, our platform is utilized across various industries, including construction, retail, and software development, presenting us with unique technical challenges.

Smartsheet is seeking a Senior Business Systems Engineer to join our Corporate Systems Development team in Bangalore. This role focuses on building and maintaining scalable backend integrations using AWS services, powering mission-critical data flows across internal systems in Finance, People, Sales, Legal, and Engineering. You’ll develop solutions leveraging tools like AWS Lambda, SQS, SNS, and languages such as Node.js and Python, integrating systems such as Salesforce, NetSuite, Workday, Snowflake, and other enterprise platforms. If you thrive on backend architecture, cloud automation, and building systems that scale, this role is for you.

This role is based in Bangalore, India, reporting to the Senior Manager, Systems Development, and collaborating closely with global engineers, system analysts, and architects.

You Will:

• Design, build, and maintain backend integrations using AWS services such as Lambda, S3, SQS, SNS, and EventBridge
• Develop API-based automations and orchestrate data flows between Salesforce, NetSuite, Workday, Snowflake, and other SaaS platforms
• Refactor and enhance legacy integration logic to align with modern architecture standards
• Own your code from design through CI/CD (GitLab) and deployment via Terraform/CloudFormation
• Collaborate with US-based engineers on shared initiatives, sprint planning, code reviews, and technical handoffs
• Participate in a shared production support rotation, resolving critical integration and data pipeline issues
• Provide technical mentorship to junior engineers, especially on high-complexity initiatives
• Partner with architects and BSAs to review integration design and testing strategies for reliability and resilience
• Support both ETL-style batch pipelines and real-time event streaming using CDC and platform events
• Contribute to evolving team SOPs, architecture standards, and shared development libraries
• Lead backend development within complex cross-functional projects, including work breakdown and delivery tracking

You Have:

• BS in Computer Science, related field, or equivalent industry experience
• 7+ years of experience in backend software development or automation using Node.js, Python, VS code or similar
• Strong experience with AWS services, especially Lambda, S3, SQS/SNS, EventBridge, DynamoDB
• Expertise in database design, schema modeling, and query optimization (DynamoDB & Snowflake preferred)
• Strong grasp of integration design patterns, secure API development (REST/SOAP), and system interoperability
• Develop and maintain GitLab based CI/CD pipeline implementations for tests, linting, deployment, etc.
• Experience with managing infrastructure as code (Terraform, CloudFormation)
• Demonstrated experience building and maintaining integrations with Salesforce, NetSuite, Workday, Coupa, Stripe, Snowflake
• Familiarity with data validation, schema evolution, and cross-system reconciliation (preferred)
• Excellent collaboration and communication skills in a distributed, global team setting
• Confidence navigating production environments, owning critical issue resolution from end to end
• Experience delivering integrations and automation solutions across Finance, People, Sales, Legal, BI
• Proven ability to lead initiatives and proactively communicate with technical and non-technical stakeholders
• Comfortable working independently, while also mentoring and reviewing work for Level 1/2 developers
• The flexibility to adjust to changing priorities, new technologies, and evolving project requirements.
• Comfortable operating in an Agile environment, and familiar with Sprint ceremonies like Daily stand-up, Sprint planning,Sprint Finalization etc. 
• Familiar with prompt engineering / Generative AI for code generation is preferred

The Challenge 

We are looking for a Senior level SDET to support our product development teams. As the Principal SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products. 

Your Mission 

Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed, reliable, and scalable analytics system, transforming raw data into usable datasets for DS/ML, analytics, and reporting. 

A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake, fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists, you will ensure data accessibility and drive activation on critical customer-facing platforms.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean, documented data products. 
• Contribute to the design standards and architectural principle standards, designs and processes.
• Build and maintain a governed, robust, reliable, and scalable analytics system (DW/DV).
• Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines.
• Foster data democratization via activation of data on critical platforms like Smartsheet platform, Amplitude, Thoughtspot , Gainsight.
• Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster.
• Create and implement data testing plans, encompassing data validation, data quality assessment, and regression testing, to identify anomalies, inconsistencies, or errors in produced datasets.
• Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 6+ years of experience in advanced data modeling using Data Vault (DV 2.0), dbt, and Snowflake.
• Proven experience in building analytics systems with data transformation, dependency, and workload management (Data Vault, AutomateDV, dbt core, Airflow, Snowflake, GitLab, SQL).
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Familiarity with data governance principles for maintaining datasets to enable a single source of truth.
• Familiarity with self-serve product analytics tools (Amplitude, Thoughtspot, Tableau, Gainsight, etc.).
• Knowledge of code management and CI/CD practices (GitLab, Airflow, Snowflake, Terraform).
• Familiarity with AWS solutions such as S3, EC2, VPC.

Smartsheet is looking for an experienced Data Engineer to support and accelerate the productivity of our Go-To Market organization. In this role, you will work with Data Engineers to help build scalable and reliable data and reporting infrastructure. You will partner with Analytics decision-makers as part of a collaborative, motivated team. Your work will be instrumental in helping our Sales partners optimize their pipeline, increase retention, and close deals.

Our ideal candidate is curious and displays an ability to translate abstract data requests into actionable data solutions . To be successful in this role, you are able to communicate to a diverse audience of internal stakeholders. You should have strong technical acumen with data analytics tools and languages, the ability to identify areas of opportunity within the business, and build innovative solutions.

You Will:

• Help to create, evolve, and maintain the reporting infrastructure for the Sales organization to facilitate data across the organization
• Partner with engineering, data science, and other analytics teams to build scalable analytics solutions with a focus on reporting capabilities
• Mine large datasets to ensure data accuracy and completeness for reporting purposes   
• Analyze and monitor data for anomalies, with a focus on data quality and consistency within reports     
• Develop and maintain key performance indicators (KPIs) to track sales performance, pipeline health, and other critical metrics   
• Automate report generation and distribution to improve efficiency
• Provide technical expertise and guidance to junior analysts on data extraction, transformation, and loading (ETL) processes and reporting best practices
• Ensure data governance and data integrity across all reporting tools and platforms
• Proactively identify and propose improvements to existing reporting processes and systems
• Be a mentor and leader to the more junior analysts on the team
• Perform other duties as assigned

You Have:

• Bachelor's degree in a quantitative field (e.g. engineering, sciences, math, statistics, business, or economics)
• 5+ years of experience in an analytics/engineering role with increasing responsibility
• Experience in Cloud and SaaS go-to-market (GTM)
• Expertise in SQL and preparing data for analysis, modeling, and visualization
• 3+ years of experience using Python for data analysis / automation 
• 3+ years of experience with dbt core
• 3+ years of experience with Git (Gitlab, Github etc.) and CI/CD concepts like branching, merging, Code Reviews etc. 
• Demonstrated experience with a modern engineering tech stack (Airflow, AWS, Docker etc.) 
• Experience working with a business intelligence tool like Tableau, PowerBI, Looker, etc.

Nice To Have:

• Experience building ML models
• Proficiency with Tableau preferred
• Experience with statistics (time series analysis, cluster analysis, multivariate analysis)
• Experience publishing and presenting data and findings to executives and non-data users

As a global leader in Collaborative Work Management and with a market cap of $10bn we’ve experienced incredible growth in EMEA, expanding from 1 team and 3 engineers in 2018 to 9 teams with over 70 engineers in 2024. As we expand into India and build out a new operation, we're searching for a talented and motivated Principal Analytics Engineer (Data Architect) to serve as a thought leader in our data-driven decision-making. You will be responsible for the end-to-end system design and architecture of our business critical analytical systems (DWs). This role will be responsible for the design and development of a governed, reliable, and scalable analytics ecosystem, transforming raw data into high-value, performant data products for DS/ML, analytics, and reporting.

A key aspect of this role is providing thought leadership and architecting efficient, large-scale data transformation systems within Snowflake. You will have demonstrated experience architecting data solutions for SaaS companies, specifically within the Go-To-Market (GTM), Marketing, Customer Experience, and Financial business domains. Working as a strategic advisor to BI analysts, Data Scientists, and business leadership, you will drive the organization's data strategy, ensure data accessibility, and foster data democratization across the enterprise.

This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru, India.

You Will:

• Lead the end-to-end system design and architecture for large, complex analytics systems, optimizing data transformations from our data lake in Snowflake into analytical data products (DWs).
• Define and drive the adoption of design standards, architectural principles, and data modeling methodologies (including Data Vault (DV 2.0) and dimensional modeling) across the organization.
• Propose and drive strategic initiatives and coordinate the technical roadmap for analytical systems across the engineering organization partnering closely with the Big Data Platforms (BDP) team.
• Serve as the data architect for critical SaaS business domains, including Go-To-Market, Marketing, Customer Experience, and Finance, translating ambiguous business problems into scalable technical analytical solutions.
• Develop and implement the organization's data strategy for data quality, observability, and testing, raising the bar for engineering quality.
• Architect and guide teams to build and maintain a governed, robust, reliable, and scalable analytics system leveraging Gen AI capabilities including AI-assisted code development practices.
• Act as a trusted advisor to BI analysts, data scientists, and business leaders, educating and advising leadership on technical data topics and data accessibility strategies.
• Foster data democratization via activation of data on critical platforms like Smartsheet Platform, Amplitude, ThoughtSpot, Gainsight & Salesforce.
• Actively mentor analytics engineers and provide mentorship across disciplines, leading forums such as guilds, design reviews, and engineering forums.
• Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g., GDPR, HIPAA, CCPA).

You Have:

• 12+ years of experience in advanced data modeling, data architecture, and data warehousing. This role is expected to do development activities in combination of the data architecture scope, so hands-on experience is necessary.
• Deep expertise and 10+ years of hands-on experience with Data Vault (DV 2.0) and Dimensional Modeling.
• Expert-level knowledge of modern data stacks, including Snowflake, dbt, and data orchestration tools (e.g., Airflow, GitLab pipelines).
• Proven experience architecting and building analytical products for SaaS companies in GTM, Marketing, Customer Experience, and Financial data domains.
• Comprehensive understanding of data topologies (e.g., data mesh, hub/spoke) and data modeling methodologies (e.g., Data Vault, Kimball, Inmon).
• Demonstrated ability to drive clarity in ambiguous environments where the strategy may not be defined.
• Proven experience with building and maintaining business analytics layers and semantic layers to enable self-service for non-technical end-users.
• Strong production experience supporting and maintaining analytics/data warehouse solutions with mission-critical datasets.
• Exceptional communication skills, with experience educating and advising senior leadership and mentoring teams across disciplines.
• Strong knowledge of data governance principles, CI/CD practices (e.g., GitLab), self-serve analytics tools (e.g., Amplitude, ThoughtSpot), and cloud architectures (AWS preferred).

Position Description: 

Precision for Medicine develops assays and runs global logistics by using biomarkers to stratify patients, incomparably improving R&D efficiency and success for our clients. We lead every aspect of clinical trials from sites to biomarkers to diagnostics, all under a single roof. We dramatically accelerate our clients' pathway from proof of concept to drug approval.         

Qualifications:

• Education: Bachelor’s degree or equivalent desired.  Degree in computer science or related fields preferred.

Work Experience:

• 6+ years of experience in solutioning and delivering software products/solutions including experience in planning and execution. 
• 3+ years of experience in leading the development and implementation of business initiatives and products/projects.
• Proven experience building and delivering high scale, secure platforms (custom developed and off the shelf)
• Experience with cloud-hosted technologies and cloud services (Azure, AWS S3 bucket, Google, Log management of the application like ELK)
• Experience working with a team following Agile software development lifecycle practices
• Experience with debugging tools like developer tools, SQL profiler etc.,
• Experience working with various tools, open-source technologies, and cloud services
• Experience of the following tools and technologies: Angular, DevExpress, SQL Server, ASP.Net C#, Windows, DACPAC, HTML, CSS, JavaScript, jQuery, SSIS and .net core api,
• Experience with Web-Based Development Frameworks such as ASP.NET, WebForms, MVC, Angular, React, Node.js
• Experience working with BitBucket, GitLab, Azure DevOps, Jira, or similar systems for software development
• Lifecycle management, source control, branching, and/or CI/CD pipelines
• Expert with database concepts, data modeling, and data management and optimizing the SQL queries and stored procedures

Skills:

• Ability to drive, contribute, and support the execution of department vision.
• Evangelist for innovation and continuous improvement. Must be able to influence technical and non-technical executives and senior leaders.
• Ability to solve highly complex product issues through technical insight and collaboration with companywide and/or industry peers.
• Deep understanding of business strategy and ability to translate strategy into system and technology solutions.
• Excellent organizational, interpersonal, communication, and presentation skills, must be detail-oriented.
• Ability to create and foster relationships within a team-oriented, collaborative environment leveraging excellent communication skills.
• Ability to quickly learn and adapt to new business processes and technologies
• In-depth knowledge and hands-on experience with all phases of an SDLC.
• Excellent application documentation skills and ability to create architecture diagrams and roadmaps
• Solid understanding of Agile software development principles.

Position Description: 

Precision for Medicine develops assays and runs global logistics by using biomarkers to stratify patients, incomparably improving R&D efficiency and success for our clients. We lead every aspect of clinical trials from sites to biomarkers to diagnostics, all under a single roof. We dramatically accelerate our clients' pathway from proof of concept to drug approval.         

Qualifications:

• Education: Bachelor’s degree or equivalent desired.  Degree in computer science or related fields preferred.

Work Experience:

• 6+ years of experience in solutioning and delivering software products/solutions including experience in planning and execution. 
• 3+ years of experience in leading the development and implementation of business initiatives and products/projects.
• Proven experience building and delivering high scale, secure platforms (custom developed and off the shelf)
• Experience with cloud-hosted technologies and cloud services (Azure, AWS S3 bucket, Google, Log management of the application like ELK)
• Experience working with a team following Agile software development lifecycle practices
• Experience with debugging tools like developer tools, SQL profiler etc.,
• Experience working with various tools, open-source technologies, and cloud services
• Experience of the following tools and technologies: Angular, DevExpress, SQL Server, ASP.Net C#, Windows, DACPAC, HTML, CSS, JavaScript, jQuery, SSIS and .net core api,
• Experience with Web-Based Development Frameworks such as ASP.NET, WebForms, MVC, Angular, React, Node.js
• Experience working with BitBucket, GitLab, Azure DevOps, Jira, or similar systems for software development
• Lifecycle management, source control, branching, and/or CI/CD pipelines
• Expert with database concepts, data modeling, and data management and optimizing the SQL queries and stored procedures

Skills:

• Ability to drive, contribute, and support the execution of department vision.
• Evangelist for innovation and continuous improvement. Must be able to influence technical and non-technical executives and senior leaders.
• Ability to solve highly complex product issues through technical insight and collaboration with companywide and/or industry peers.
• Deep understanding of business strategy and ability to translate strategy into system and technology solutions.
• Excellent organizational, interpersonal, communication, and presentation skills, must be detail-oriented.
• Ability to create and foster relationships within a team-oriented, collaborative environment leveraging excellent communication skills.
• Ability to quickly learn and adapt to new business processes and technologies
• In-depth knowledge and hands-on experience with all phases of an SDLC.
• Excellent application documentation skills and ability to create architecture diagrams and roadmaps
• Solid understanding of Agile software development principles.

Senior Software Engineer:

Role summary Build, evolve, and operate backend services at scale for ZoomInfo. You’ll work primarily with Node.js/TypeScript (NestJS preferred), design robust REST/GraphQL APIs, optimize MongoDB/Redis, and deploy on cloud (GCP preferred or AWS) with a strong focus on reliability, performance, security, and cost efficiency.

What you’ll do:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

What you bring:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production
• Collaboration and communication skills; bias for clean, well-tested, and well-documented code

Nice to have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

#LI-PM1

#LI-Hybrid

Who we are.

Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients.

Let's talk about the cool stuff you do at Axi!

We are seeking a skilled DevOps Engineer to design, deliver, and support optimized, secure cloud solutions across development and production environments. This role works across multiple product delivery teams, promoting DevOps best practices and ensuring a consistent, high-quality approach to software delivery and infrastructure management.

You will play a key role in driving automation, improving deployment processes, and embedding operational excellence into all technology solutions.

Your EDGE assignment/You will:

• Act as a core member of the DevOps function, contributing to a center of excellence in DevOps methodologies
• Design, implement, and maintain secure, scalable cloud-based solutions
• Promote and enable automation and self-service capabilities across development teams
• Ensure compliance with well-architected frameworks and embed non-functional requirements (security, performance, scalability) by design
• Collaborate with engineering teams to integrate operational requirements into design, build, and deployment phases
• Provide Level 2/3 support, identifying root causes and implementing permanent fixes to prevent recurring incidents
• Implement, configure, and maintain cloud infrastructure and associated technology platforms
• Develop and enhance CI/CD pipelines to enable efficient, reliable deployments (including one-click deployments, rollbacks, and parameterized builds)
• Monitor system performance and proactively identify areas for improvement
• Troubleshoot and resolve complex technical issues across environments
• Work closely with software developers to ensure adherence to best practices, standards, and processes

Are you the one?

Technical Skills

• Strong experience with cloud platforms (e.g., AWS, Azure, or GCP)
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI, Azure DevOps)
• Proficiency in infrastructure as code (e.g., Terraform, CloudFormation, ARM templates)
• Experience with containerization and orchestration (e.g., Docker, Kubernetes)
• Solid understanding of system monitoring, logging, and alerting tools
• Experience with scripting languages (e.g., Python, Bash, PowerShell)
• Knowledge of networking, security principles, and cloud architecture best practices

DevOps & Engineering Practices

• Strong understanding of DevOps principles and Agile methodologies
• Experience implementing automation and self-service solutions
• Familiarity with well-architected frameworks and non-functional requirements
• Experience supporting production systems and handling incident management

Soft Skills

• Strong problem-solving and analytical skills
• Excellent collaboration and communication abilities
• Ability to work across multiple teams and manage competing priorities
• Proactive mindset with a focus on continuous improvement

Desirable Skills

• Experience with microservices architecture
• Knowledge of security and compliance standards
• Experience working in large-scale or enterprise environments
• Exposure to Site Reliability Engineering (SRE) practices

Axi's bag of delights

• Competitive and attractive compensation.
• Extensive learning opportunities, such as professional training and certifications and soft skills development.
• 18 annual leave days per year.
• 12 sick days leave per year.
• Public holidays as declared by local government.
• Maternity leave as per law.
• Health Insurance. 

Axi's interview journey

• Talent Acquisition Interview   (45 minutes)
• Hiring Manager Interview (60 minutes)
• Final Interview (60 minutes)

Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment of any fees related to the recruitment of the candidate represented in the unsolicited resume.

At Axi, we prioritize creating a workplace that upholds fairness and respect for all. We encourage every individual within our community to contribute towards a culture where everyone feels a sense of belonging and is treated with the dignity they deserve. We make all employment-related decisions—whether in hiring, compensation, training, performance reviews, or termination—based on merit and without bias, ensuring equal opportunities for everyone. We consciously work to identify and overcome any unconscious biases, with a commitment to fostering an inclusive environment where every employee and candidate feels genuinely welcomed and valued.

LivePerson (NASDAQ: LPSN) is a leading customer engagement company, creating digital experiences powered by Curiously Human AI. Every person is unique, and our technology makes it possible for companies, including leading brands like HSBC, Orange, and GM Financial, to treat their audiences that way at scale. Nearly a billion conversational interactions are powered by our Conversational Cloud each month.

You'll be successful at LivePerson if you are excited to build something from the ground up. You excel by finding daily opportunities to grow at the same pace as the technology we're building, and you build partnerships that improve our business. Likewise, you're someone who sees feedback as a chance to learn and grow and believe decisions powered by data are the norm. You care about the well-being of others and yourself.

Job Description: Site Reliability Engineer (Platform Engineer) Mid Level (L2) 

Location: India (Remote- Bangalore)

Overview:

We are seeking a Mid-Level Site Reliability Engineer (SRE) to join our global Platform Engineering team. As an SRE, your primary responsibility is to ensure that our platform is reliable, scalable, and performant. You’ll be the bridge between development and operations — designing automation, improving observability, and maintaining the health of our production systems. You should have what it takes to ask the right questions, identify potential risks early, and raise flags when necessary to maintain a culture of reliability and continuous improvement.

You will: 

• Collaborate closely with Developers, QA, and Product teams during sprint planning to understand release plans, dependencies, and infrastructure requirements.
• Participate in the application release cycle, ensuring deployments are automated, consistent, and reliable.
• Manage and operate Kubernetes clusters in Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS).
• Develop and manage Terraform modules for provisioning and configuring cloud infrastructure across GCP and AWS.
• Standardize service deployments using Helm for templating and versioned releases.
• Build and enhance observability with Prometheus, Grafana, and Datadog to monitor application and platform performance.
• Design, implement, and maintain GitLab CI/CD pipelines for build, test, and deployment automation.
• Drive an automation-first culture by developing scripts and tooling in Python, Go, or Shell to minimize manual effort and improve efficiency.
• Participate in a 24/7 on-call rotation, ensuring quick detection, mitigation, and resolution of incidents.
• Perform root cause analysis (RCA) and contribute to post-incident reviews to prevent recurrence.
• Proactively identify reliability or scalability gaps, raise early warnings, and partner with teams to address systemic risks.

You have: 

• 5-8 years of experience as a Site Reliability Engineer, Platform Engineer, or DevOps Engineer.
• Hands-on experience managing Kubernetes clusters (GKE, EKS) in GCP and AWS.
• Strong knowledge of Terraform, Helm, and GitLab CI/CD pipelines.
• Proficiency in Python, Go, or Shell scripting for automation and tooling.
• Experience implementing and managing observability stacks (Prometheus, Grafana, Datadog).
• Deep understanding of Linux systems, cloud networking, and container orchestration concepts.
• Experience working in Agile/Scrum environments and partnering closely with developers.
• Excellent analytical skills with a proactive attitude — able to question assumptions and escalate potential risks early.

Good to Have

• Experience with ArgoCD or Flux (GitOps-based workflows).
• Familiarity with service mesh (Istio, Linkerd) or API gateways.
• Knowledge of cloud cost optimization, autoscaling, or security best practices.
• Experience with incident management tools such as PagerDuty, ServiceNOW

Why Join Us

• Build and operate modern cloud-native platforms using Kubernetes, Terraform, GitLab, Datadog, and Grafana.
• Be part of a global SRE team that values automation, reliability, and innovation.
• Work in a collaborative culture that encourages ownership, learning, and continuous improvement.
• Enjoy flexible working arrangements, competitive compensation, and career growth opportunities including certifications and mentorship.

Why you’ll love working here: 

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace. 

• Benefits: 15 Days PTO + Casual & Sick Leave
• Insurance: 8 Lakhs Family Floater Coverage; Personal Accident & Life Insurance: 3x of Gross Annual Salary*

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information.  This phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address.

LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Brief about the role:

As a "DevOps Engineer 4" in Black Duck DevOps team, you will play a key role in transforming our R&D products through the adoption of advanced cloud, Containerization, Microservices, modern software delivery and other cutting edge technologies. You will be a key member of the team, working independently to develop tools and scripts, automated provisioning, deployment, and monitoring.

Experience         : 8 – 12 Years

Job location       : Black Duck, Bangalore (Prestige Blue Chip, Near Dairy Circle, Opp to Christ University)

Work Mode        : Hybrid (3 days WFO)

Required Key Qualifications & Tech skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• A minimum of 7+ years of experience in Site Reliability Engineering / DevOps Engineering.
• Experienced in CI/CD Pipelines & GitOps using Git hub action / GitLab / Bitbucket / ArgoCD, Harness.io, Git / GitHub - Implement GitOps for deployments
• Strong hands-on experience with Containerization & Orchestration using Docker, Kubernetes / K8s Manifests, Helm to Secure, optimize, and scale K8s
• Hands-on end to end deployment experience on Kubernetes manifests.
• Solid experience with Infrastructure as Code (IaC) using Terraform / CloudFormation / Pulumi (Preferably Terraform) - Write modules, manage state
• Proficient in Scripting & Automation using Bash, Python / Golang - Automate tasks, error handling
• Deep understanding of Cloud Platforms & Services in AWS / GCP / Azure (Preferably GCP) cloud to Optimize cost, security, and performance
• Strong background in Monitoring & Observability using Prometheus / Grafana / ELK Stack / Datadog / New Relic - Configure alerts, analyze trends
• Good understanding in Networking & Security using Firewalls, VPN, IAM, RBAC, TLS, SSO, Zero Trust - Implement IAM, TLS, logging
• Experience with Backup & Disaster Recovery using Velero, Snapshots, DR Planning - Implement backup solutions
• Basic Understanding messaging concepts using RabbitMQ / Kafka / Pub,Sub / SQS
• Familiarity with Configuration Management using Ansible / Chef / Puppet / SaltStack - Run existing playbooks
• Excellent problem-solving, organizational, and leadership skills.
• Strong communication abilities to effectively collaborate with internal teams and stakeholders.
• Certifications: CKAD, CKS, and/or CKA (Good to have)

Key Responsibilities:

• Design and develop scalable, modular solutions that promote reuse and are easily integrated into our diverse product suite.
• Collaborate with cross-functional teams to understand their needs and incorporate user feedback into the development.
• Establish best practices for modern software architecture, including Microservices, Serverless computing, and API-first strategies.
• Drive the strategy for Containerization and orchestration using Docker, Kubernetes, or equivalent technologies.
• Ensure the platform's infrastructure is robust, secure, and compliant with industry standards.

What We Offer:

• An opportunity to be a part of a dynamic and innovative team committed to making a difference in the technology landscape.
• Competitive compensation package, including benefits and flexible work arrangements.
• A collaborative, inclusive, and diverse work environment where creativity and innovation are valued.
• Continuous learning and professional development opportunities to grow your expertise within the industry.

Who we are

Moniepoint is an all-in-one financial services platform for emerging markets and the second-fastest growing company in Africa. Since 2019, Moniepoint’s technology has powered over 3 million people, offering personal and business banking, payment, credit, and business management tools to help them succeed. Moniepoint processed $182 billion in 2023 and currently processes most of the POS transactions in Nigeria.

Curious about what makes Moniepoint an incredible place to work?
Check out posts on how we cultivate a culture of innovation, teamwork, and growth.. 

About the role

We are seeking a highly skilled Lead Testing Tools Development Engineer to design, develop, and maintain advanced testing frameworks and automation tools. This role focuses on building scalable, reusable, and integrated testing infrastructure that supports functional, performance, and security testing across diverse platforms and environments.
.

What you’ll get to do

Tool Development & Framework Design:

• Design & implement custom test automation frameworks for functional, performance, and security testing
• Develop reusable libraries, plugins, and CLI tools to support test execution, reporting, and integration with CI/CD pipelines
• Build scalable test harnesses for distributed systems, microservices, mobile native and cloud SaaS applications.

Automation & Scripting:

• Write robust, maintainable code in Java, JavaScript/TypeScript to automate test workflows.
• Integrate tools with version control systems (Git), CI/CD platforms (Jenkins, Harness), and artifact repositories

DevOps & Infrastructure Integration:

• Containerize tools using Docker and orchestrate test environments using Kubernetes
• Implement observability into test tools using New Relic, Grafana, ELK Stack

Collaboration & Enablement:

• Partner with QE, SRE/DevOps, and development teams to understand testing pain points and deliver tooling solutions.
• Provide governance model, documentation, training, and support to enable teams to adopt and extend testing tools effectively.

Innovation & Continuous Improvement:

• Evaluate and adopt emerging technologies in the testing ecosystem.
• Contribute to internal best practices for test automation, tool development, & quality engineering.
• Familiarity with AI/ML-based test generation or test impact analysis.
• Background in developer experience (DevEx) or internal platform engineering
  
  

To succeed in this role, we think you should have

• 12+ years of experience in Quality Engineering and Tools development or similar role.
• Bachelor’s degree in computer science or a related engineering discipline.
• Strong programming skills in Java with a focus on tooling and automation.
• Proficiency in extending and customizing open-source tools such as.
  • Functional/UI Testing: Selenium, Playwright, Cypress, Appium
  • API Testing: Postman/Bruno, REST Assured, Karate
  • Performance Testing: JMeter, K6, Gatling, Locust
  • Security Testing: OWASP ZAP, Burp Suite, Nmap, Nessus
• Experience Integrating testing tools with
  • Test Management & Issue Tracking: Jira, Qmetry
  • Reporting & Analytics: ReportPortal, Allure, ExtentReports, Grafana
  • CI/CD Pipelines: Jenkins, Harness, ArgoCD, GitLab, SonarQube
  • Device Farms: BrowserStack, LambdaTest for cross-platform and mobile testing
• Experience with test data management, mocking frameworks, and service virtualization tools such as WireMock, Hoverfly, or Mockito
• Strong command of relational (SQL) and non-relational (NoSQL) databases, along with experience in publish-subscribe messaging systems like Kafka.
• Solid understanding of RESTful APIs, gRPC, WebSockets, & event-driven or asynchronous architectures
• Hands-on experience with leading cloud platforms - Google Cloud Platform (GCP), and expertise in Kubernetes for container orchestration.
• Proficient in working within Linux/Unix-based environments, including shell scripting and system-level debugging.
• Well-versed in Agile/Scrum/Kanban methodologies, with a focus on iterative development and continuous delivery.
• Demonstrated ability in problem-solving, root cause analysis, and debugging complex systems across the stack.
• Excellent communication and collaboration skills, with a proven track record of working effectively in cross-functional teams.

What we can offer you

• Culture -We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
• Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
• Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits.

What to expect in the hiring process

• A preliminary call with the recruiter
• A call with the Hiring Manager
• A technical Interview with members of the Engineering Team 
• A technical Interview with a members of the QA Team
• A behavioral and technical interview with a member of the Executive team. 
• All Interview stages are Virtual

Moniepoint is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and candidates.

An overview of this role

As an AI Engineer at GitLab, you'll help build the foundation for GitLab's transformation into an AI-first company. Reporting to the Director, Enterprise AI, you'll be a hands-on technical leader responsible for delivering internal AI-powered solutions that drive measurable business outcomes.

Building fast matters, but it's not enough on its own. This role starts with understanding the real problem: mapping how work moves across teams, tools, and handoffs, identifying the true constraint, and validating whether AI is the right solution before you begin development. From there, you'll take ownership from discovery through deployment, combining strong engineering skills with systems thinking and business understanding.

Your initial focus will span Sales, Marketing, and Customer Support, where you will embed AI solutions into key systems and workflows. This role offers the opportunity to shape how GitLab team members work, improve flow across the organization, and help advance our mission in a remote, asynchronous, and values-driven environment.

What you'll do

• Diagnose business problems before building solutions. Map workflows, identify constraints, and confirm whether AI is the right intervention. Be prepared to say "this doesn't need AI" when that's the honest answer.
• Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration.
• Design, develop, and ship AI-powered solutions quickly, delivering working prototypes in days, not months, with a focus on practical outcomes and measurable business value.
• Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput. Measure success using flow metrics alongside adoption and ROI.
• Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms, including GitLab Duo Agent Platform, where appropriate. The right tool wins, whether that's custom code, a platform, or a well-crafted prompt.
• Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible, feeding real-world usage insights back to R&D.
• Partner closely with stakeholders across functions to understand the real constraints. Ask the right questions, bridge technical and non-technical perspectives, and align on outcomes before jumping to solutions.
• Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable.
• Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations that help the team scale its impact.

What you'll bring

• A Technologist at Heart - Genuinely invested in technology, the foundational and the cutting-edge in equal measure. You're as energised by a well-designed API integration as you are by the latest foundation model release. You reach for the simplest solution that solves the problem well, rather than forcing new technology when proven approaches would do. AI is a powerful part of your toolkit, but it sits on top of solid engineering fundamentals, not in place of them.
• Competent, Confident Coding Skills - You can build working solutions end-to-end, write clean and maintainable code, and debug effectively. Whether your skills were honed in a traditional engineering role, through building automations, or shipping side projects, what matters is that you can deliver production-quality work independently.
• AI & LLM Technical Depth - Strong proficiency in at least one modern scripting language (Python, JavaScript/TypeScript, or similar) and a solid understanding of REST APIs, GraphQL, and integration patterns. Deep, practical experience with modern AI technologies, specifically: Prompt engineering as a core discipline: designing effective system prompts, managing context windows, structuring multi-turn interactions, evaluating output quality, and iterating systematically on prompt design.Model selection and cost-performance trade-offs: understanding when a smaller fine-tuned model outperforms a general-purpose large one, when RAG is the right architecture versus expanding the context window, and how to make principled decisions about capability versus cost.
• Agentic architecture patterns: tool use, multi-agent orchestration, human-in-the-loop designs, guardrails, evaluation frameworks, and production-grade reliability patterns.Practical fluency across the LLM ecosystem: hands-on experience with models from Anthropic, OpenAI, open-source alternatives, and the judgment to know which to reach for and when.
• AI Safety & Risk Awareness - You think critically about how the solutions you build could be exploited, misused, or produce unintended consequences. You know how to design appropriate guardrails (input validation, output filtering, access controls, prompt injection defences, and data leakage prevention) and you treat these as first-class engineering concerns.
• Systems Thinking & Diagnostic Rigour - The ability to look at a complex process and see the constraint. Comfortable mapping how work flows end-to-end, identifying bottlenecks, and tracing problems to root causes before proposing solutions. You instinctively ask "what's actually blocking flow here?" before asking "what model should I use?"Business System Expertise - Familiarity with the landscape of enterprise business systems, CRM (Salesforce), marketing automation (Marketo), support platforms (Zendesk), integration and orchestration tools (Workato), AI platforms (Relevance AI), and enterprise search and knowledge tools (Glean). You don't need deep experience with all of these, but to understand what they do, how they fit together, and be willing to build with and across them. A strong understanding of enterprise data models and workflows is essential.
• Broad Functional Understanding - Ability to have meaningful conversations with stakeholders across diverse domains and quickly understand their unique needs.
• End-to-End Ownership - Track record of owning complex initiatives from discovery through delivery. Comfortable operating with ambiguity and driving to measurable outcomes independently.
• Product Mindset - Ability to scope MVPs, prioritise ruthlessly, and deliver iteratively. In addition, consider adoption, user experience, and business outcomes.

Preferred Qualifications

• Experience with GitLab platform and CI/CD workflows
• Background in consulting, solutions engineering, or customer-facing technical roles
• Familiarity with value stream mapping, flow metrics, or Theory of Constraints thinking
• Experience with low-code/no-code orchestration tools (n8n, Make, Workato) alongside custom development
• Previous startup or high-growth company experience
• Experience mentoring or leading technical projects with junior engineers

About the team

You will join the Enterprise Technology & AI team. We're the backbone of the organisation, driving transformation in how GitLab team members make decisions, operate at scale, and deliver results for our customers.

We believe the best AI solutions start with understanding the system, not the technology. We value people who think in constraints and flow, who build with conviction, and who never stop learning. We work in an all-remote, asynchronous setting, guided by GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.

An overview of this role

As a Staff Program Manager within GitLab's Enterprise Technology organization, you will lead the planning, execution, and delivery of complex, cross-functional technology programs that advance our enterprise IT strategy. You'll serve as a trusted advisor and program execution partner to IT leadership, translating strategic objectives into structured roadmaps and measurable outcomes. This is a highly visible role that requires both technical fluency and business acumen, with the ability to navigate ambiguity, align diverse stakeholders, and drive decisions across teams.

You will operate at the intersection of IT, Finance, Legal, Product, and Business operations, bringing structure and clarity to programs that span multiple domains and functions. Whether standing up new capabilities, improving governance practices, or scaling operational processes, you will be the connective tissue that keeps programs moving, risks surfaced, and stakeholders informed.

What you'll do

• Own end-to-end program management for large-scale or high-complexity Enterprise Technology & AI initiatives, including scope definition, roadmap development, resource planning, and delivery tracking
• Define and communicate clear success metrics for each program, reporting status and risk to Enterprise Technology & AI leadership on a regular cadence, and escalating issues with recommended paths forward
• Partner with business and technology stakeholders to develop a deep understanding of underlying problems, desired outcomes, and solution trade-offs
• Drive cross-functional alignment by facilitating decision-making, resolving dependencies, and maintaining momentum across distributed teams
• Recommend and implement improvements to program governance frameworks, intake processes, and ways of working across the CIO org
• Translate complex technical and business requirements into clear, actionable work plans accessible to both technical and non-technical audiences
• Anticipate risks and interdependencies across the portfolio, proactively mitigating blockers before they impact delivery
• Model GitLab values and remote work best practices, contributing to a high-trust, async-first team culture

What you'll bring

• 8+ years of program management experience, with a strong track record delivering large, cross-functional Enterprise Technology & AI programs
• Demonstrated ability to simplify complex processes and build structured approaches to ambiguous problems
• Experience influencing without authority, earning trust with senior stakeholders, and driving alignment across functions, including Finance, Legal, Sales, and Product
• Comfortable operating at both a strategic level and in the details, switching between executive communication and hands-on program execution as needed
• Strong written and verbal communication skills, with experience presenting program status, risks, and recommendations to ETA leadership and Executive audiences
• Familiarity with Enterprise IT domains such as business systems, data, AI, security, infrastructure, or enterprise architecture (depth in one or more areas preferred)
• Proficiency with program and project management tools and methodologies (Agile, Scrum, SAFe, or similar); PMP, CSM, or equivalent certification is a plus
• Experience working in a remote, globally distributed environment with a bias toward async collaboration and clear documentation

About the team

The CIO Enterprise Technology & AI team is GitLab's central engine for improving the systems, data, and AI capabilities that support how we run the business. The team designs and operates enterprise applications, data platforms, corporate IT services, and AI-enabled workflows that help our globally distributed GitLab team members work effectively and securely.

You'll join a team that partners closely with Finance, Sales, Marketing, People, Product, and Security to turn business strategy into scalable, reliable technology solutions. The work is broad, visible, and deeply cross-functional, which makes strong program leadership essential. In this role, you'll help teams stay aligned, make progress across complex initiatives, and bring transparency to how strategic work gets delivered across the organization.

An overview of this role

As a Senior Data Analyst on GitLab's Enterprise Analytics team, you'll support some of GitLab's most visible go-to-market and executive reporting. You'll work closely with Sales, Marketing, Revenue Operations, Finance, and analytics partners to deliver company-level reports, go-to-market performance views, and lifecycle reporting that leaders use to run the business. Working in Snowflake, dbt, Tableau, and VS Code, you'll turn ambiguous business questions into trusted, well-documented data products that serve as a single source of truth for performance and targets versus actuals. You'll also help improve our Enterprise Analytics handbook and core data foundations so strategy, processes, and metric definitions are clear and usable in our all-remote, values-driven environment.

What you'll do

• Build and maintain executive-facing scorecards, go-to-market performance views, and new-customer reporting that connect pipeline, bookings, and product usage signals into targets-versus-actuals tracking by motion.
• Design performant, reusable Tableau Cloud data sources and help shape the underlying dbt models so reporting layers are stable, governed, and aligned to single-source-of-truth patterns.
• Collaborate with Analytics Engineering and Data Engineering to improve dbt models that support reliable, scalable reporting for business stakeholders.
• Document metric logic, data lineage, and Tableau usage patterns in the handbook so stakeholders can understand how data products are built and used.
• Implement and monitor data quality checks and reconciliations across Snowflake, Salesforce, and other go-to-market systems to strengthen trust in company-level reporting.
• Partner with Revenue Operations, Finance, and go-to-market analysts and stakeholders to define questions, align on metric definitions and pacing logic, and deliver dashboards and deep-dive analyses.
• Present insights in a clear, actionable way for both operational and executive audiences so teams can make better decisions faster.
• Share best practices in SQL, data visualization, and go-to-market analytics, including code reviews and pairing support on high-priority dashboards.

What you'll bring

• Strong analytical skills with the ability to frame ambiguous business questions, structure analysis, and translate findings into clear recommendations for go-to-market and executive stakeholders.
• Advanced SQL skills working with large, complex data models, preferably in Snowflake, including joining many tables and building reusable queries and views.
• Proven experience building executive-facing dashboards in Tableau or a similar business intelligence tool, including data source design, performance tuning, and visualization best practices.
• Deep understanding of go-to-market concepts such as new-customer and first-order metrics, pipeline, bookings, Net ARR, go-to-market motions, sales segments, and marketing funnel metrics.
• Strong command of GenAI tools for daily use in your work and the judgment to use them effectively to improve speed and quality.
• Ability to communicate complex analyses in a clear, concise way through presentations, written narratives, and data visualizations for both technical and non-technical audiences.
• Comfort working in an all-remote, asynchronous environment, with a high level of ownership and the ability to drive work forward independently.
• Alignment with GitLab's values and openness to applying transferable skills from related analytics, revenue operations, or business intelligence roles.
• Experience with dbt and modern analytics engineering patterns, including trusted marts, certified sources, and documented lineage, is helpful but not required.

About the team

The Enterprise Analytics team is a centralized, cross-functional partner to GitLab's go-to-market organization and executive leadership. The team turns data from systems such as Snowflake, Salesforce, GitLab, and other business platforms into actionable insights and self-service reporting that support operating reviews and strategic decision-making. You'll join a fully remote, globally distributed team that collaborates asynchronously to define shared metrics and deliver reporting that leaders can trust. We document our strategy and processes in the handbook so stakeholders can use data more independently. The team is currently focused on scaling company-level scorecards, new-customer and first-order reporting, and go-to-market performance analytics across motions.

Every day we tackle new and exciting challenges to empower developers to build modern cloud, mobile, and edge applications that deliver a premium user experience. Couchbase delivers unmatched performance, scalability, flexibility and financial value across cloud, on premises, hybrid, mobile and edge deployments. The database market is undergoing a generational shift and is one of the largest market opportunities in enterprise software due to big trends like the need for digital transformation, acceleration to the cloud and innovation at the edge. Join Couchbase to be a part of a greater change. Here you’ll have the opportunity to learn and grow with some of the most innovative, passionate and humble individuals in the database industry.

Couchbase is growing rapidly, and the Engineering and Cloud teams are at the foundation of our growth.You’ll join at an ideal time to make a big impact. Our systems have scaled well to date but we need to expand our capabilities by an order of magnitude.What this means is that we need to successfully formulate, organize, coordinate, and monitor interconnected projects and programs of large scope, impact, and complexity through all phases of the life cycle.

The Couchbase QE team is looking for a Senior Software Engineer - SDET who can drive high quality for all the components. As part of this role, you will learn the Couchbase products and QE's functional and system test frameworks to scale-out our data infrastructure software systems. You will optimize the framework developed in Python/Golang to handle larger scales under heavy load and stressful conditions. You will be part of a great team that is going through some exciting growth and development.

Requirements

• Highly-skilled in automation and test framework building and implementation
• Know how on using modern AI tools like Claude Code, Copilot etc. 
• Proficiency in coding - Python, C/C++, Java, or Golang
• 7+ years of experience as SDET  
• In-depth knowledge of tools automation and optimization
• Demonstrated knowledge of testing one or more of the following: server performance, API interfaces, databases, file systems, operating systems, network performance and storage
• Experience with working on large scale enterprise distributed systems or relational/NoSQL databases
• Experience setting up and configuring test environments along with infrastructure as a service including Windows and Linux operating systems, networking and proxies, and client-server tests
• Experience capturing network traces and basic analysis
• Excellent written and oral communication skills, analytical skills, fanatical attention to detail, and curiosity
• Demonstrated competence and self-motivation in analyzing problems
• Ability to work in a fast-paced environment and to be an outstanding team player
• Experience with cloud platforms (AWS, GCP, Azure) and managing Kubernetes clusters on these platforms is an added advantage
• Knowledge of CI/CD tools and practices (e.g., Jenkins, GitLab CI, Argo CD)

Job summary

As an Application Security Engineer within our cybersecurity team, you will help safeguard the company’s web applications and services by supporting the integration of security practices into the Software Development Life Cycle (SDLC). You will collaborate with development, DevOps, and security teams to identify, assess, and remediate vulnerabilities, contribute to secure coding practices, and assist in implementing DevSecOps tooling and processes. This role is ideal for someone with a strong technical foundation who is eager to grow within the product/application security space.

What you will do

• Support the integration of security controls and best practices across various phases of the SDLC.
• Assist in security assessments, including static and dynamic code analysis, open-source dependency analysis, and limited penetration testing.
• Participate in manual and automated code reviews to identify potential vulnerabilities and coding flaws.
• Collaborate with software engineers to promote secure development practices, including the use of security testing tools in CI/CD pipelines.
• Contribute to the evaluation, deployment, and tuning of DevSecOps tools such as SAST, DAST, and SCA platforms.
• Help maintain secure deployment workflows and support security automation efforts.
• Participate in cross-functional security reviews of new features and systems with guidance from senior engineers.
• Stay up to date on current security threats, vulnerabilities, and best practices in application security.
• Assist with triaging vulnerabilities from internal scans, bug bounty submissions, or external assessments.
• Document processes and playbooks to support consistent and scalable security practices.
• Provide input to the development of internal security standards and reference architectures.
• Support remediation efforts in collaboration with engineering teams.
• Participate in promoting a security-first culture across the organization.
• Other duties and responsibilities as assigned.

What you will have

• Bachelor’s degree in computer science, cybersecurity, or a related technical field.
• 2+ years of experience in cybersecurity, software engineering, or DevOps, with at least 1+ years focused on application or product security.
• Experience with programming/scripting languages such as Python, JavaScript, or Java.
• Familiarity with DevSecOps tools (SAST, DAST, SCA) and secure SDLC methodologies. - nice to have if they have a solid understanding of common web application vulnerabilities (e.g., OWASP Top 10, CWE).
• Solid understanding of common web application vulnerabilities (e.g., OWASP Top 10, CWE) and remediation strategies.
• Ability to analyze code and spot security issues with guidance.
• Strong communication and collaboration skills.
• Strong attention to detail and willingness to learn new technologies.

Nice to have

• Hands-on experience with CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins).
• Familiarity with security standards and frameworks such as NIST, OWASP SAMM, ISO 27001, or PCI DSS.
• Experience working in a regulated environment (e.g., financial services, healthcare, or government).
• Professional certifications such as Security+, CEH, eJPT, or equivalent (OSCP or similar preferred but not required).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience contributing to or managing a bug bounty triage process.

Benefits

• Generous time off policies
• Top shelf benefits
• Education, wellness and lifestyle support

#LI-SS1

Job summary

We are seeking an experienced Senior Software Engineer to join our dynamic and innovative team. As a Senior Software Engineer, you will be a key contributor to the design, development, and maintenance of our platforms. You will work closely with cross-functional teams to deliver high-quality software that meets the needs of our customers.

What you will do

• Collaborate with product managers, UX designers and architects to understand project requirements and technical specifications. 
• Design, develop, test, and maintain software applications, ensuring they meet high-quality standards and performance benchmarks. 
• Write clean, efficient, and maintainable code, in accordance with coding standards and best practices. 
• Conduct code reviews to increase code quality, consistency, and alignment with the product design and architecture. 
• Analyze, troubleshoot, and debug product defects and provide timely solutions to customer issues. 
• Stay up to date on emerging technologies and industry trends to continuously improve software development processes and tools. 
• Contribute to architectural decisions and help drive technical innovation within the team. 

What you will have

• Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent hands-on experience).
• 5+ years of experience as a Software Engineer (SSE) building scalable, production-grade web applications.
• Strong proficiency in Python and JavaScript, with full-stack development exposure.
• Deep expertise in modern frontend engineering using JS, Redux Toolkit, and strong fundamentals in ES6+, HTML5, CSS3, SASS, Tailwind CSS.
• Solid understanding of software design principles and architectures (modular design, domain-driven design, clean architecture) with a focus on scalability, maintainability, and performance.
• Hands-on experience with containerization and orchestration tools such as Docker, Kubernetes, and Helm for scalable deployments.
• Exposure to cloud platforms (AWS /GCP) with experience in building and deploying cloud-native applications.
• Strong DevOps mindset, including CI/CD pipelines (GitHub Actions, GitLab CI, Bitbucket, Harness), Infrastructure as Code (Terraform, CloudFormation), and automated deployment strategies.
• Strong experience with LLM-based developer tools and workflows, including Claude Code, GitHub Copilot, and modern AI-assisted engineering practices; adept at leveraging AI for code generation, optimization, debugging, and applying best practices in prompt engineering and workflow automation.
• Good exposure to application security practices, including secure coding standards (OWASP), vulnerability awareness, and implementing security best practices across the stack.
• Experience with API security and authentication mechanisms such as JWT, OAuth2, OpenID Connect, along with concepts like rate limiting and API gateways.
• Effective communicator and team player, experienced in collaborating with product, design, QA, and platform teams to deliver high-quality solutions.

Nice to have

• Working knowledge of PKI, cryptography, and code signing is an added advantage.
• Solid understanding of LLMs and RAG systems, including prompt engineering, embeddings, and vector databases (e.g., Postgres pgvector, Pinecone, Weaviate), along with orchestration frameworks such as LangChain and LlamaIndex.
• Familiarity with deploying GenAI workloads on AWS, Azure, and GCP (e.g., Bedrock, OpenAI, Azure OpenAI), including implementing guardrails, content filtering, and observability for LLM-based applications.

Benefits

• Generous time off policies
• Top shelf benefits
• Education, wellness and lifestyle support

#LI-SD1

The Challenge 

We are looking for a Senior level SDET to support our product development teams. As the Senior SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products. 

Your Mission 

As a Senior SDET, you will: 

Provide technical leadership and guidance to the SDET team.
Collaborate with development and QE (Quality Engineering) teams to integrate testing into the software development process.
Design, develop, and maintain scalable and efficient test automation frameworks and test architectures.
Rub shoulders with developers in writing unit and integration tests using their tools and frameworks.
Ensure the frameworks support various testing types, including functional, integration, and performance testing.
Mentor and guide junior SDETs, providing technical expertise and career development support.
Conduct training sessions to enhance the skills of the testing team.
Foster a culture of innovation, collaboration, and continuous learning within the team.
Collaborate with cross-functional teams to develop comprehensive test plans.
Execute and oversee the execution of test cases, ensuring thorough coverage of functional and non-functional requirements.
Analyze test results and provide meaningful insights to improve product quality.
Work closely with developers, product managers, and other stakeholders to understand requirements and user stories.
Communicate effectively with team members and stakeholders, providing clear updates on testing progress and issues.
Add, maintain, and update scripts in existing automation suite, helping with running the suite across various checkpoints in the release cycle. 
Participate in various POCs (Proof of Concept) to keep the automation framework and technology relevant and current to product offerings. 
Conduct peer reviews of test code and automation frameworks. 

You Are

You are a seasoned SDET with an automate anything anywhere attitude who is looking for a challenging technical leadership role in a dynamic and innovative company.
You can efficiently find the underlying cause of a failure (in an integrated environment) and alert the right team.
You are consistently willing to pitch in to support a long running deployment, even after hours.
You are willing to learn and pick up new skillsets to support the ever-changing technology landscape like Cloud computing & AI (Artificial Intelligence).
You can understand complex product and deployment architectures and create efficient test solutions.
You want to be part of a team that is passionate about delivering high-quality software solutions.
Your Experience Includes 
Bachelor's degree in Computer Science, Engineering, or related technical or business field. 
4+ years of relevant experience working as a developer, automation engineer or SDET. 
4+ years of experience coding in Java and must have strong practical knowledge of OOPs and Core Java principles. 
4+ years of experience contributing to Test-Driven Development or BDD (Behavior Driven Development) with tools like Cucumber, Junit, Mockito, or TestNG.
3+ years of experience with CI/CD tools like Jenkins, Circle CI, or Azure DevOps with the ability to create test pipelines using Java or Groovy.
4+ years of experience with Selenium or Cypress frameworks for automating GUI (User Interface) and E2E tests of the application.
4+ years of experience with REST Assured or similar tools like Postman for automating APIs.
4+ years of experience working in a highly automated CI/CD environment. 
4+ years of experience with source control tools such as Bitbucket, GitHub or GitLab. 
2+ years of experience mining meaningful logs for troubleshooting using tools like Splunk, Dynatrace or Coralogix.
3+ years of experience working in a cloud shop preferably Azure with exposure to various Azure services like Gateways, Redis, Storage, VMs (virtual machines) and Kubernetes clusters. 
3+ years of experience in testing mobile applications, both native and websites using Appium on both real devices and simulators either in a private farm of 3rd party vendors like Sauce Labs or BrowserStack.
Strong analytical, critical thinking and problem-solving skills.
Ability to work as part of a team, demonstrate initiative, solve problems independently and mentor others.
Passion for high quality work and attention to detail.
Strong oral and written communication skills.

Extra Awesome

Prior exposure to AI/ML systems and how to use them in testing thus making test pipeline more intelligent.
Experience in analyzing the CPU Utilization, Memory usage, Network usage, Garbage Collection and DB Parameters and DB Reports to verify the performance of the applications.
Ability to spin up scalable test architecture using Docker or Kubernetes.
Experience with Kubernetes and extended usage patterns for test grids, auto scale properties.

Production Operations Engineer 3 – P3 (ProdOps / SRE) 

Location: Bangalore – Hybrid 

Experience: 5–8 years 

Shift: 24/7 Rotational shifts (Including Night Shifts & Weekend On-Call) 

About the Role 

The Production Operations Engineer will support and stabilize large-scale production systems with a focus on incident management, monitoring, site reliability, and customer-facing communications. This is a hands-on role requiring ownership of critical production issues in a 24/7 environment. 

Key Responsibilities 

• Own and manage Critical and High production incidents end-to-end. 

• Participate in SWARM / Tech Bridge calls and lead incidents during assigned shifts. 

• Improve MTTR, MTTA, alert quality, and operational stability. 

• Perform root cause analysis (RCA) and drive corrective actions. 

• Monitor production systems and proactively detect issues. 

• Automate operational tasks using Go, Python, Shell, or Perl. 

• Maintain dashboards, alerts, runbooks, and SOPs. 

• Handle customer-facing communications during incidents. 

• Coordinate with Engineering, Product, CloudOps, and Support teams. 

• Guide junior engineers and support shift handovers. 

• Lead automation initiatives to reduce toil and manual intervention.  

• Write and review operational automation using Go / Python / Shell / Perl.  

• Act as a technical reviewer for reliability‑critical changes.  

• Influence architecture decisions with operability and reliability in mind.  

• Own and standardize runbooks, SOPs, and disaster recovery processes. 

Leadership & Mentorship 

• Provide technical leadership and mentorship to ProdOps engineers. 

• Guide shift teams during complex situations. 

• Support onboarding, training, and upskilling of team members. 

• Drive operational maturity across the team. 

Tech Stack & Expertise 

Required Technologies 

• Containers & Orchestration: Docker, Kubernetes, Helm 

• Cloud Platforms: AWS / GCP / Azure 

• Infrastructure as Code: Terraform 

• CI/CD: Jenkins, Harness, GitHub Actions, ArgoCD, GitLab CI 

• Monitoring & Observability: Prometheus, Grafana, ELK, Datadog, New Relic, Loki 

• Version Control: Git, GitHub, GitLab 

• Scripting: Go or Python or Shell or Perl 

Qualifications 

• 6+ years of experience in Production Operations, SRE, or Cloud Reliability roles. 

• Proven experience leading major production incidents in customer‑facing systems. 

• Strong background in distributed systems, Kubernetes, and cloud environments. 

• Experience mentoring engineers and driving reliability initiatives. 

• Excellent written and verbal communication skills. 

What We Offer 

• An opportunity to be part of a dynamic and innovative team. 

• Inclusive and collaborative work environment. 

• Continuous learning and professional development opportunities. 

• Exposure to large-scale and customer-critical systems. 

Title: DevOps Engineer

Reporting to: Senior Director, Product Development
Location: Bengaluru (Bangalore)

Opportunity:

Responsibilities:

Infrastructure Development & Integration

• Design, implement, and manage cloud-native infrastructure (AWS, Azure, GCP) to support healthcare platforms, AI agents, and clinical applications.
• Build and maintain scalable CI/CD pipelines to enable rapid and reliable delivery of software, data pipelines, and AI/ML models.
• Design and manage Kubernetes (K8s) clusters for container orchestration, workload scaling, and high availability with integrated monitoring to ensure cluster health and performance
• Implement Kubernetes-native tools (Helm, Kustomize, ArgoCD) for deployment automation and environment management ensuring observability through monitoring dashboards and alerts
• Collaborate with Staff Engineers/Architects to align infrastructure with enterprise goals for scalability, reliability, and performance leveraging monitoring insights to inform architectural decisions.

System Optimization & Reliability

• Implement and maintain comprehensive monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog, AWS cloudwatch, AWS cloud trail) to ensure real-time visibility into system performance, resource utilization, and potential incidents.
• Implement monitoring, logging, and alerting mechanisms (Prometheus, Grafana, ELK, Datadog) to ensure system reliability and proactive incident response.
• Ensure data pipeline workflows (ETL/ELT, real-time streaming, batch processing) are observable, reliable, and auditable.
• Support observability and monitoring of GenAI pipelines, embeddings, vector databases, and agentic AI workflows.
• Proactively analyze monitoring data to identify bottlenecks, predict failures, and drive continuous improvement in system reliability.

Compliance & Security

• Support audit trails and compliance reporting through automated DevSecOps practices.
• Implement security controls for LLM-based applications, AI agents, and healthcare data pipelines, including prompt injection prevention, API rate limiting, and data governance.

Collaboration & Agile Practices

• Partner closely with software engineers, data engineers, AI/ML engineers, and product managers to deliver integrated, secure, and scalable solutions.
• Contribute to agile development processes including sprint planning, stand-ups, and retrospectives.
• Mentor junior engineers and share best practices in cloud-native infrastructure, CI/CD, Kubernetes, and automation.

Innovation & Technical Expertise

• Stay informed about emerging DevOps practices, cloud-native architectures, MLOps/LLMOps, and data engineering tools.
• Prototype and evaluate new frameworks and tools to enhance infrastructure for data pipelines, GenAI, and Agentic AI applications.
• Advocate for best practices in infrastructure design, focusing on modularity, maintainability, and scalability.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical discipline.
• 6+ years of experience in DevOps, Site Reliability Engineering, or related roles, with at least 3+ years building cloud-native infrastructure.
• Proven track record of managing production-grade Kubernetes clusters and cloud infrastructure in regulated environments.
• Experience supporting GenAI/LLM applications (e.g., OpenAI, Hugging Face, LangChain) and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Hands-on experience supporting data pipeline products using ETL/ELT frameworks (Apache Airflow, dbt, Prefect) and streaming systems (Kafka, Spark, Flink).
• Experience deploying AI agents and orchestrating agent workflows in production environments.

Technical Proficiency

• Expertise in Kubernetes (K8s) for orchestration, scaling, and managing containerized applications.
• Strong proficiency in containerization (Docker) and Kubernetes ecosystem tools (Helm, ArgoCD, Istio/Linkerd for service mesh).
• Hands-on experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi).
• Proficiency with CI/CD tools (Jenkins, GitHub Actions, GitLab CI, ArgoCD, Spinnaker).
• Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, AWS cloud watch and AWS cloud trail), including setting up dashboards, alerts, and custom metrics for cloud-native and AI systems.
• Good to have: knowledge of healthcare data standards (FHIR, HL7) and secure deployment practices for AI/ML and data pipelines.

Professional Skills

• Strong problem-solving skills with a focus on reliability, scalability, and security.
• Excellent collaboration and communication skills across cross-functional teams.
• Proactive, detail-oriented, and committed to technical excellence in a fast-paced healthcare environment.

About Get Well:

Now part of the SAI Group family, Get Well is redefining digital patient engagement by putting patients in control of their personalized healthcare journeys, both inside and outside the hospital. Get Well is combining high-tech AI navigation with high-touch care experiences driving patient activation, loyalty, and outcomes while reducing the cost of care. For almost 25 years, Get Well has served more than 10 million patients per year across over 1,000 hospitals and clinical partner sites, working to use longitudinal data analytics to better serve patients and clinicians. AI innovator SAI Group led by Chairman Romesh Wadhwani is the lead growth investor in Get Well. Get Well’s award-winning solutions were recognized again in 2024 by KLAS Research and AVIA Marketplace. Learn more at Get Well and follow-us on LinkedIn and Twitter.

Get Well is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.

About SAI Group:

• SAIGroup commits to $1 Billion capital, an advanced AI platform that currently processes 300M+ patients, and 4000+ global employee base to solve enterprise AI and high priority healthcare problems. SAIGroup - Growing companies with advanced AI; https://www.cnbc.com/2023/12/08/75-year-old-tech-mogul-betting-1-billion-of-his-fortune-on-ai-future.html
• Bio of our Chairman Dr. Romesh Wadhwani: Team - SAIGroup (Informal at Romesh Wadhwani - Wikipedia)
• TIME Magazine recently recognized Chairman Romesh Wadhwani as one of the Top 100 AI leaders in the world - Romesh and Sunil Wadhwani: The 100 Most Influential People in AI 2023 | TIME

What You Will Do and Learn

As a Snowflake Architect/ Manager in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

• Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
• Collaborate with team members to design and implement technology that aligns with client business objectives
• Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
• Team management experience and ability to manage, mentor and develop talent of assigned junior resources
• Create actionable recommendations based on identified platform, structural and/or logic problems
• Communicate and demonstrate a clear understanding of client business needs, goals, and objectives
• Collaborate with other architects on solution designs and recommendations.

Qualifications:

• 8+ years’ experience developing industry leading business intelligence and analytic solutions
• Must have thorough knowledge of data warehouse concepts and dimensional modelling
• Must have experience in writing advanced SQL
• Must have at least 5+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.
• Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.
• Hands-on experience with Snowflake would carry higher weightage
• Snowflake SnowPro Core certification would carry higher weightage
• Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage
• Hands-on experience on Azure would carry higher weightage
• Must have experience in setting up DBT projects
• Must have experience in understanding / creating / modifying & optimizing YML files within DBT
• Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations
• Must have experience with various materialization techniques within DBT
• Must have experience in writing & executing DBT Test cases
• Must have experience in setting up DBT environments
• Must have experience in setting up DBT Jobs
• Must have experience with writing DBT Jinja and Macros
• Must have experience in creating DBT Snapshots
• Must have experience in creating & managing incremental models using DBT
• Must have experience with DBT Docs
• Should have a good understanding of DBT Seeds
• Must have experience with DBT Deployment
• Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features
• Proficiency in version control systems and CI/CD
• Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.
• Must have experience in PR approval workflow
• Participate in code reviews and best practices for SQL and DBT development
• Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage
• 2+ years of Business Data Analyst experience
• 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.
• Understanding and experience on ETL/ELT is an added advantage
• 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)
• 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)
• 2+ years of experience creating functional test cases and supporting user acceptance testing
• 2+ years of experience in Agile/Kanban/DevOps Delivery
• Outstanding analytical, communication, and interpersonal skillsAbility to manage projects and teams against planned work
• Responsible for managing the day-to-day client relationship on projects

Role Overview 

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI’s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. 
You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team. 

 Key Responsibilities 

1. Quality Strategy & Leadership

• Build and own JazzX AI’s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments. 

• Lead, mentor, and scale a team of QA engineers and automation specialists. 

• Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases. 

• Define and enforce quality gates and release-readiness standards. 

1. AI/LLM-Specific Quality Assurance

• Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation. 

• Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation. 

• Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing. 

• Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios. 

1. Automation Engineering

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins). 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on AWS/GCP. 

1. Performance Testing

• Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust. 

1. Release, Monitoring & Reliability

• Own the release sign-off process for all AI software components and platform features. 

• Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle. 

• Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors. 

1. Documentation & Communication

• Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics. 

• Provide clear communication of risks, quality insights, and impact analysis to leadership. 

 Required Qualifications 

• 5+ years of experience in Software QA. 

• Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript). 

• Experienced in working with microservice-based architecture 

• Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations. 

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on Azure /AWS. 

• Experience testing distributed cloud systems, APIs, and high-performance backend services. 

• Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives. 

 Preferred Skills 

• Experience testing LLMs, RAG pipelines, or autonomous AI agents. 

• Familiarity with AI observability tools, logging/monitoring stacks (ELK, Prometheus, Datadog). 

• Exposure security testing, performance/load testing, and compliance (SOC2, GDPR). 

• Ability to operate in a fast-paced, zero-to-one startup environment. 

Role Overview 

We are looking for a QA Lead who can architect the overall quality strategy for JazzX AI’s platforms and AI-powered products. This role requires a blend of traditional QA expertise, AI/ML awareness, and strong leadership capabilities. 
You will lead the quality roadmap for agent workflows, LLM outputs, APIs, and cloud services while managing a high-performing QA team. 

 Key Responsibilities 

1. Quality Strategy & Leadership

• Build and own JazzX AI’s end-to-end QA strategy across AI copilots, workflows, and enterprise deployments. 

• Lead, mentor, and scale a team of QA engineers and automation specialists. 

• Partner closely with Product, ML Engineering, and Platform Engineering to embed quality in early design phases. 

• Define and enforce quality gates and release-readiness standards. 

1. AI/LLM-Specific Quality Assurance

• Develop evaluation systems for LLM accuracy, hallucination detection, factuality, safety, and bias mitigation. 

• Design scalable tests for agent reasoning, tool-use correctness, and multi-step workflow validation. 

• Create synthetic datasets and scenario-based tests for edge-case prediction and regression testing. 

• Validate model performance across fine-tuning, RAG, knowledge-grounding, and inference scenarios. 

1. Automation Engineering

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Ensure seamless integration of automated suites into CI/CD pipelines (GitHub Actions/GitLab/Jenkins). 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on AWS/GCP. 

1. Performance Testing

• Load Testing, Stress Testing, Spike Testing, Endurance/Soak Testing using industry-standard tools like JMeter, LoadRunner, Gatling, k6, or Locust. 

1. Release, Monitoring & Reliability

• Own the release sign-off process for all AI software components and platform features. 

• Conduct RCA, maintain issues of dashboards, and drive continuous improvement in QA lifecycle. 

• Collaborate with DevOps/ML Ops to monitor model drift, performance anomalies, and post-production behaviors. 

1. Documentation & Communication

• Prepare detailed QA documents: strategies, test plans, evaluation reports, and execution metrics. 

• Provide clear communication of risks, quality insights, and impact analysis to leadership. 

 Required Qualifications 

• 12+ years of experience in Software QA. 

• Strong hands-on experience with test automation frameworks and scripting (Python/Java/JavaScript). 

• Experienced in working with microservice-based architecture 

• Working knowledge of AI/ML systems, including datasets, model evaluation, vector stores, RAG, and LLM operations. 

• Architect and manage automation frameworks using Python/Java/JS, Playwright, Selenium, PyTest, Postman, etc. 

• Automated API, microservices, and backend testing for JazzX AI’s cloud architecture running on Azure /AWS. 

• Experience testing distributed cloud systems, APIs, and high-performance backend services. 

• Strong analytical and problem-solving skills with the ability to drive organization-wide quality initiatives. 

 Preferred Skills 

• Experience testing LLMs, RAG pipelines, or autonomous AI agents. 

• Familiarity with AI observability tools, logging/monitoring stacks (ELK, Prometheus, Datadog). 

• Exposure security testing, performance/load testing, and compliance (SOC2, GDPR). 

• Ability to operate in a fast-paced, zero-to-one startup environment. 

Job Description:

About Black Duck Software:

The Software Integrity Group at Black Duck is looking for an Sr. Staff Site Reliability Engineer. 

We are growing and our development environment is a mix of on-prem and cloud-based infrastructure. As a member of the release engineering team, you will have an opportunity to develop tools to automate infrastructure, automate process, develop re-usable libraries and build and release pipelines that use them. The ideal candidate will be a great communicator and a quality focussed innovator. You need to be willing to experiment and to learn quickly so we can be responsive to our stakeholders.

Roles & Responsibilities:

• Uses technical knowledge and creativity to maximize CI/CD throughput by implementing proactive monitoring, scaling and alerting.
• Maintain and Deploy Continuous Integration/Continuous Delivery Pipelines using GitLab CI, docker and python libraries using Jenkins Pipelines with Groovy Libraries.
• Automate branching, tagging, and SCM administration for multiple projects.
• Maintain, Evolve and Create on-demand Infrastructure.
• Manage docker images for multiple teams.
• Maintain cloud-based Operating System Images for automated deployment.
• Apply OS patches to VM and Docker images as needed.
• Manage Release of VM Images/Virtual Applications into the Amazon and Google Marketplaces.
• Automate Deployment of Products with Ansible, Kubernetes, Docker Swarm/Compose, Terraform.

Key Qualifications:

• Unix Systems Administration (Solaris, AIX, Linux, Freebsd).
• Proven understanding of Dynamic and Static linking in software executables
• Automake, Autoconf, Libtool familiarity.
• Docker/VM image creation and System Administration
• Build Pipelines with CI/CD automation in Jenkins, Gitlab, Github, Concourse
• Infrastructure Automation with terraform or ansible.
• Python programming and package creation:
• Production Application Administration and Management
• Performance Monitoring and Tuning
• Bash Expertise
• Preferred Experience:
• Porting Software Between Unix Variants, Docker, Docker Compose, Docker Swarm, Kubernetes, Helm, Terraform, Ansible, AWS / GCP / Azure.

DevOps Automation:

• Object Oriented Programming
• C/C++ programing
• Java programming, Prometheus, Grafana

Inclusion and Diversity are important to us. Black Duck considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

The Role 

Staff - Software Development Engineer in Test

 Responsibilities

• Technical Leadership
• Architect, design, and implement scalable and reusable test automation frameworks for UI, API, and performance testing.
• Drive shift-left testing by integrating automated tests early in the SDLC.
• Optimize existing automation frameworks for faster execution, stability, and reliability.
• Ensure comprehensive test coverage across functional, integration, regression, performance, and security testing layers.
• Establish best practices in test automation using modern tools and frameworks.
• Review and enhance CI/CD pipelines to include automated testing, test reporting, and quality gates.
• Provide technical mentorship to SDET-1 and SDET-2 team members, guiding them on automation, testing best practices, and debugging complex issues.
• Collaboration & Stakeholder Engagement
• Work closely with developers, DevOps, and product managers to define test plans, strategies, and quality metrics.
• Collaborate with development teams to implement unit and integration tests.
• Drive defect triage and resolution processes, ensuring timely identification and fixes.
• Partner with DevOps to enhance test execution in CI/CD pipelines.
• Advocate for quality-first development practices across engineering teams.
• Automation & Tooling
• Develop robust test scripts in Java, Python, or JavaScript using frameworks like Selenium, Cypress, Appium, or Playwright.
• Implement API automation testing using tools such as RestAssured, Postman, or Karate.
• Lead efforts in performance testing using JMeter, Gatling, or Locust.
• Ensure security testing is embedded within test pipelines.
• Maintain test execution reports, dashboards, and key quality metrics using tools like Allure, TestRail, and Datadog.
• Process & Best Practices
• Define and enforce test-driven development (TDD) and behavior-driven development (BDD) methodologies.
• Improve test data management strategies for stable and repeatable test execution.
• Introduce mocking and service virtualization where applicable.
• Conduct code reviews for automation scripts and provide constructive feedback.
• Lead test strategy discussions for microservices and distributed systems testing.

Requirements

• 7-10 years of experience in software development, testing, and automation.
• Strong proficiency in one or more programming languages (Java, Python, JavaScript).
• Experience with test automation frameworks like Selenium, Appium, Cypress, TestNG, JUnit, Playwright.
• Solid knowledge of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, Bamboo, or CircleCI).
• Hands-on experience with containerized environments (Docker, Kubernetes).
• Experience in testing microservices and RESTful APIs.
• Good understanding of AWS, GCP, or Azure for cloud-based testing.
• Exposure to performance and security testing methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management skills.

Summary:

The Senior Manager, DevOps leads the strategic direction and execution of Tekion’s DevOps and infrastructure automation initiatives. This role oversees global teams responsible for platform reliability, CI/CD, observability, and cloud operations. It focuses on scaling infrastructure, improving deployment velocity, and ensuring operational excellence across the engineering organization.

Duties & Responsibilities:

• Defines and executes the DevOps roadmap, aligning automation, reliability, and scalability goals with organizational priorities.
• Manages and scales teams responsible for cloud infrastructure, CI/CD pipelines, monitoring, and SRE practices.
• Partners with Engineering, Product, and Security leadership to align on architectural standards and operational policies.
• Leads modernization initiatives including infrastructure as code, containerization, and service mesh adoption.
• Establishes SLAs, incident response processes, and performance metrics for platform health and resilience.
• Oversees budget planning, vendor evaluation, and tooling strategy to ensure efficiency and scalability.
• Mentors DevOps managers and senior engineers, fostering a culture of accountability, innovation, and continuous improvement.

Job Complexity:

Leads global, cross-functional infrastructure programs with high strategic value. Balances short-term platform demands with long-term architectural and operational vision.

Required Supervision:

Operates with complete autonomy. Responsible for team leadership, budget oversight, and cross-department alignment with executive stakeholders.

Expertise:

Demonstrates deep expertise in DevOps, infrastructure automation, cloud architecture, and site reliability engineering. Influences enterprise-wide technical decisions and leads transformation across engineering operations.

Qualifications:

• 10+ years of experience in DevOps, cloud engineering, or infrastructure leadership roles
• 5+ years in technical leadership or management, including global team oversight
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• Strong expertise in AWS, GCP, or Azure and infrastructure-as-code tools like Terraform, CloudFormation, or Pulumi
• Proficiency in CI/CD pipeline tooling (e.g., Jenkins, GitLab CI/CD, ArgoCD) and observability stacks (e.g., Prometheus, Grafana, ELK)
• Experience implementing SRE practices, reliability metrics, and service-level objectives
• Excellent leadership, strategic thinking, and cross-functional collaboration skills

Overview

You will join the Sailfin Accounts Receivable (AR) Team, a product engineering team working in the Finance and Accounting domain. The team designs, develops, deploys, and maintains a large-scale AR product used by global customers. Most of the team is based in India, including this role in Bangalore, and we work with a modern technology stack—AI/ML models, LLMs, multi-agent systems, cloud platforms, and automation frameworks. Our focus is on building secure, scalable, and intelligent solutions that transform financial operations.

The Role

We are looking for an Applied AI Engineer who can build production-ready predictive, generative, and agentic AI solutions for the Finance domain.

You will handle end-to-end development—from identifying use cases to deploying AI features in production. You must have experience building real-world, production-grade AI and agentic systems, not just POCs.

Responsibilities

• Partner with product owners and finance experts to identify strong AI use cases in Accounts Receivable.
• Design and build predictive models, generative AI features, and multi-agent systems tailored to business problems.
• Develop LLM-based copilots and autonomous agents, including human-in-loop flows, security guardrails, and audit trails.
• Work closely with software engineers and data scientists to embed AI features into the product.
• Build and maintain secure, scalable MLOps pipelines for training, deployment, and monitoring.
• Continuously evaluate and improve model performance and user impact.
• Stay current with the latest advancements in LLMs, NLP, multi-agent frameworks, and applied AI engineering.
• Set up and tailor AI demos as needed for customers, stakeholders, and internal teams.
• Contribute to a culture of innovation, collaboration, and continuous learning.

Required Experience

AI/ML/LLM Experience

• 7+ years of AI/ML engineering experience.
• 3+ years of hands-on experience with LLM-based solutions.
• 1+ year of experience building agentic systems (production-ready, not POCs).

Multi-Agent & Autonomous Systems

• Strong understanding of multi-agent architectures, memory systems, tool-use, orchestration, routing, and safety guardrails.
• Experience building autonomous or semi-autonomous agents with governance, logging, and human-in-loop flows.

Technical Skills

• Strong programming skills in Python (preferred), R, or Java.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Solid understanding of predictive modeling, NLP, ML algorithms, and statistics.
• Experience working in cloud environments (AWS/Azure/GCP) with model deployment and data pipelines.
• Knowledge of GitHub/GitLab, version control, and CI/CD practices.
• Basic understanding of web fundamentals (HTTP, JSON, authentication) and REST APIs to integrate AI/LLM solutions into the product.

General Skills

• Strong analytical and problem-solving skills.
• Ability to communicate complex concepts clearly to non-technical partners.
• Great collaboration and teamwork abilities.
• Curiosity and passion for innovation in AI and Finance.

Job Overview:

We are looking for a Senior Software Development Engineer in Test (SDET) to design and implement automated testing solutions that ensure high-quality software delivery. The role involves building test frameworks, improving CI/CD pipelines, mentoring QA engineers, and collaborating closely with developers and DevOps teams.

Key Responsibilities:​

1. Test Automation Development
• Design, develop, and maintain scalable test automation frameworks.
• Write automated tests for API, UI, integration, and performance testing.
• Implement automation using languages such as Java, Python, or JavaScript.
2. Test Strategy & Planning
• Define testing strategies for new features.
• Ensure high test coverage across applications.
• Identify test scenarios, edge cases, and failure points.
3. CI/CD Integration
• Integrate automated tests into CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.
• Enable continuous testing in build pipelines.
4. Automation Tools
• Develop automation using tools such as:
• Selenium
• Appium
• Rest Assured
• TestNG
5. Performance & Reliability Testing
• Create performance tests using tools like Apache JMeter.
• Monitor system performance and identify bottlenecks.
6. Code Reviews & Best Practices
• Review test automation code.
• Promote best practices for maintainable and reliable tests.
7. Collaboration
• Work with developers, product managers, and DevOps teams.
• Participate in Agile ceremonies such as sprint planning and retrospectives.
8. Mentorship
• Mentor junior QA and SDET engineers.
• Guide teams on automation strategy and quality engineering practices.

Required Skills

Programming

• Strong coding skills in Java / Python / JavaScript
• Object-Oriented Programming (OOP)
• Data structures and algorithms basics

Automation

• UI automation frameworks
• API testing
• Mobile testing

Tools & Technologies

• Selenium
• Java/Python
• Appium
• Apache JMeter
• Docker

Preferred Qualifications

• 4–8 years of experience in automation testing or SDET roles
• Experience with microservices architecture
• Cloud platforms such as Amazon Web Services
• Experience with performance testing and monitoring(Nice to have).

Brief about the role:

As a "DevOps Engineer 3" in Black Duck DevOps team, you will play a key role in transforming our R&D products through the adoption of advanced cloud, Containerization, Microservices, modern software delivery and other cutting edge technologies. You will be a key member of the team, working independently to develop tools and scripts, automated provisioning, deployment, and monitoring.

Experience         : 6 – 8 Years

Job location       : Black Duck, Bangalore (Prestige Blue Chip, Near Dairy Circle, Opp to Christ University)

Work Mode        : Hybrid (3 days WFO)

Required Key Qualifications & Tech skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• A minimum of 5+ years of experience in Site Reliability Engineering / DevOps Engineering.
• Experienced in CI/CD Pipelines & GitOps using Git hub action / GitLab / Bitbucket / ArgoCD, Harness.io, Git / GitHub - Implement GitOps for deployments
• Strong hands-on experience with Containerization & Orchestration using Docker, Kubernetes / K8s Manifests, Helm to Secure, optimize, and scale K8s
• Hands-on end to end deployment experience on Kubernetes manifests.
• Solid experience with Infrastructure as Code (IaC) using Terraform / CloudFormation / Pulumi (Preferably Terraform) - Write modules, manage state
• Proficient in Scripting & Automation using Bash, Python / Golang - Automate tasks, error handling
• Deep understanding of Cloud Platforms & Services in AWS / GCP / Azure (Preferably GCP) cloud to Optimize cost, security, and performance
• Strong background in Monitoring & Observability using Prometheus / Grafana / ELK Stack / Datadog / New Relic - Configure alerts, analyze trends
• Good understanding in Networking & Security using Firewalls, VPN, IAM, RBAC, TLS, SSO, Zero Trust - Implement IAM, TLS, logging
• Experience with Backup & Disaster Recovery using Velero, Snapshots, DR Planning - Implement backup solutions
• Basic Understanding messaging concepts using RabbitMQ / Kafka / Pub,Sub / SQS
• Familiarity with Configuration Management using Ansible / Chef / Puppet / SaltStack - Run existing playbooks
• Excellent problem-solving, organizational, and leadership skills.
• Strong communication abilities to effectively collaborate with internal teams and stakeholders.
• Certifications: CKAD, CKS, and/or CKA (Good to have)

Key Responsibilities:

• Design and develop scalable, modular solutions that promote reuse and are easily integrated into our diverse product suite.
• Collaborate with cross-functional teams to understand their needs and incorporate user feedback into the development.
• Establish best practices for modern software architecture, including Microservices, Serverless computing, and API-first strategies.
• Drive the strategy for Containerization and orchestration using Docker, Kubernetes, or equivalent technologies.
• Ensure the platform's infrastructure is robust, secure, and compliant with industry standards.

What We Offer:

• An opportunity to be a part of a dynamic and innovative team committed to making a difference in the technology landscape.
• Competitive compensation package, including benefits and flexible work arrangements.
• A collaborative, inclusive, and diverse work environment where creativity and innovation are valued.
• Continuous learning and professional development opportunities to grow your expertise within the industry.

Role Overview

As a DevOps Engineer, you will support the reliability, scalability, and deployment of Tellius platforms. This role involves close collaboration with engineering, QA, and customer-facing teams and requires strong communication skills to clearly explain technical issues and updates.

Key Responsibilities

• Design, maintain, and improve CI/CD pipelines for reliable application releases.
• Provision and manage cloud infrastructure using Terraform and IaC best practices across AWS, GCP, or Azure.
• Deploy, operate, and troubleshoot applications on AWS/GCP (preferred).
• Manage containerized workloads using Docker and Kubernetes.
• Monitor system health, performance, and availability using Prometheus, Grafana, and ELK Stack.
• Automate manual and repetitive tasks using Shell or Python.
• Contribute to application codebases and collaborate with developers on microservices and API integrations.
• Collaborate with developers and QA teams to ensure zero- or minimal-downtime deployments.
• Assist in implementing security controls, backup strategies, and disaster recovery processes.
• Participate in technical and customer-facing discussions, including deployment updates, issue triage, and clarifications related to the environment.

What Success Looks Like in This Role

• You can independently manage and support CI/CD pipelines with minimal supervision.
• You respond to production or customer-reported issues calmly and communicate updates clearly and effectively.
• You understand system architecture well enough to explain incidents to customers and internal stakeholders.
• You proactively identify opportunities to automate processes and improve system reliability.

Required Skills & Qualifications

• 2+ years of hands-on experience in DevOps, SRE, or a similar engineering role.
• Experience working across multiple cloud providers (AWS and GCP/Azure)
• Working knowledge of Docker and Kubernetes operations.
• Experience using Terraform or similar IaC tools.
• Proficiency in Shell or Python scripting.
• Proficiency in at least one backend language (Python, Go, or Java).
• Solid understanding of Linux/Unix systems, networking fundamentals, and cloud security basics.
• Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.
• Excellent communication skills, including experience writing incident reports or post-mortems, and comfortable presenting in customer calls or internal reviews.

Good to Have

• Exposure to GitOps tools such as ArgoCD or FluxCD.
• Experience with Helm for Kubernetes package management.
• Exposure to service mesh technologies (Istio, Linkerd).
• Familiarity with incident management tools (PagerDuty, Opsgenie, Jira).
• Basic understanding of SLAs, SLOs, and production reliability concepts.
• Prior experience working with customer-facing engineering or support teams.

Growth Opportunities

• Hands-on mentorship and learning opportunities across DevOps, SRE, and platform engineering.
• Clear career progression paths toward Senior DevOps Engineer or SRE roles.

Tellius offers competitive compensation packages commensurate with experience, along with full benefits, continuous learning opportunities, and clear career growth paths.

Role Overview

You will be part of a team responsible for bringing a software stack to production for next-generation AI compute platforms. As a member of the Software QA team, you will design and build automated test frameworks for AI hardware and software components, and continuously enhance the test and qualification infrastructure to support evolving products.

This role involves leveraging CI/CD pipelines and Python-based test frameworks to drive both component-level and end-to-end validation. You will develop automation to support large language model accuracy, benchmarking, and robustness testing, ensuring software and hardware stacks meet high quality and performance standards.

You will collaborate closely with machine learning kernel teams, compiler and runtime engineers, hardware architects, and ML researchers across global teams throughout the qualification lifecycle. There will also be opportunities to contribute to emerging ML and AI technologies as part of the broader engineering effort.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field, with 7+ years of industry experience.

• Solid understanding of machine learning fundamentals and large language models.

• Strong proficiency in Python, including data structures, and experience working in a Linux environment.

• Self-driven team player with strong collaboration skills.

Preferred Experience

• Experience working in startups or small, fast-paced teams.

• Hands-on exposure to machine learning models and neural network layers.

• Experience testing deep learning frameworks such as TensorFlow, PyTorch, and transformer-based models.

• Familiarity with CI/CD systems, particularly GitLab-based pipelines.

What You Will Do and Learn

As a Data Engineer in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

Qualifications:

· 2-4 years’ experience developing industry leading business intelligence and analytic solutions

· Must have thorough knowledge of data warehouse concepts and dimensional modelling

· Must have experience in writing advanced SQL

· Must have at least 2+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.

· Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.

· Hands-on experience with Snowflake would carry higher weightage

· Snowflake SnowPro Core certification would carry higher weightage

· Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage

· Hands-on experience on Azure would carry higher weightage

· Must have experience in setting up DBT projects

· Must have experience in understanding / creating / modifying & optimizing YML files within DBT

· Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations

· Must have experience with various materialization techniques within DBT

· Must have experience in writing & executing DBT Test cases

· Must have experience in setting up DBT environments

· Must have experience in setting up DBT Jobs

· Must have experience with writing DBT Jinja and Macros

· Must have experience in creating DBT Snapshots

· Must have experience in creating & managing incremental models using DBT

· Must have experience with DBT Docs

· Should have a good understanding of DBT Seeds

· Must have experience with DBT Deployment

· Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features

· Proficiency in version control systems and CI/CD

· Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.

· Must have experience in PR approval workflow

· Participate in code reviews and best practices for SQL and DBT development

· Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage

· 2+ years of Business Data Analyst experience

· 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.

· Understanding and experience on ETL/ELT is an added advantage

· 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)

· 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)

· 2+ years of experience creating functional test cases and supporting user acceptance testing

· 2+ years of experience in Agile/Kanban/DevOps Delivery

· Outstanding analytical, communication, and interpersonal skills

· Ability to manage projects and teams against planned work

· Responsible for managing the day-to-day client relationship on projects

· Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance

· Collaborate with team members to design and implement technology that aligns with client business objectives

· Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients

· Team management experience and ability to manage, mentor and develop talent of assigned junior resources

· Create actionable recommendations based on identified platform, structural and/or logic problems

· Communicate and demonstrate a clear understanding of client business needs, goals, and objectives

· Collaborate with other architects on solution designs and recommendations.