About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Description: Business Intelligence Manager

Position Summary

The Business Intelligence (BI) Manager is responsible for leading the strategy, development, and operational excellence of enterprise analytics, reporting, and AI-enabled insights. This role oversees BI platforms, data visualization, and analytical solutions—including the responsible application of AI and advanced analytics—to enable data-driven decision-making across the organization. The BI Manager partners with business leaders, data engineering, AI governance, and security teams to ensure insights are accurate, explainable, secure, and aligned with business priorities.

Key Responsibilities

Strategy & Leadership

• Define and execute the enterprise BI and analytics strategy, including AI-enabled insights, aligned to business objectives and data governance standards
• Lead, mentor, and develop a team of BI developers, analysts, and analytics engineers
• Establish prioritization frameworks for analytics and AI-driven use cases
• Serve as a trusted advisor to business and executive stakeholders on analytics and AI capabilities

Analytics, AI & Insights Delivery

• Oversee the design, development, and maintenance of dashboards, reports, predictive models, and AI-assisted analytics products
• Enable the use of AI for trend analysis, forecasting, anomaly detection, and insight generation using governed enterprise data
• Ensure consistent semantic models, metrics definitions, and explainable outputs across BI and AI solutions
• Partner with data science and data engineering teams to operationalize AI outputs into BI platforms and business workflows
• Drive adoption of AI-assisted self-service analytics while maintaining data quality, lineage, and control

Platforms & Technology

• Own BI and analytics platforms (e.g., Power BI, Tableau, Looker) and their integration with AI and cloud data platforms
• Support AI-enabled features such as natural language query, automated insights, and embedded copilots where appropriate
• Define standards for dashboard design, AI explainability, usability, accessibility, and performance
• Lead platform optimization, licensing strategy, and cost management across BI and AI tooling

AI Governance, Security & Responsible Use

• Ensure AI use of data complies with enterprise AI governance, security, privacy, and ethical standards
• Partner with security, risk, and compliance teams to enforce access controls, sensitivity labeling, and usage monitoring
• Support model transparency, bias awareness, and auditability for AI-derived insights
• Maintain documentation for AI use cases, assumptions, and limitations

Data Governance & Quality

• Enforce data governance, certification, and lifecycle management for BI and AI assets
• Establish data quality and AI output validation processes
• Maintain business glossaries, metric definitions, and AI-enabled analytics documentation
• Support audit, compliance, and regulatory requirements related to analytics and AI

Stakeholder Engagement & Value Realization

• Translate business questions into analytics and AI use cases with measurable outcomes
• Enable business teams through training on BI tools, AI-assisted analytics, and responsible usage
• Measure and report on analytics and AI value realization, adoption, and business impact

Required Qualifications

• Bachelor’s degree in information systems, Computer Science, Data Analytics, Business, or related field
• 7–10 years of experience in business intelligence, analytics, or data platforms
• 3+ years of experience leading BI or analytics teams
• Strong expertise in BI platforms (Power BI preferred) and enterprise data architectures
• Demonstrated understanding of AI-assisted analytics and advanced analytical techniques
• Proven experience partnering with senior business stakeholders
• Strong understanding of data governance, security, and compliance principles

Preferred Qualifications

• Experience in managed services, consulting, or multi-client environments
• Familiarity with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery)
• Exposure to AI platforms, embedded analytics, or analytics copilots
• Knowledge of data cataloging, lineage, and governance tools (e.g., Microsoft Purview or equivalents)
• Experience operationalizing AI insights within enterprise reporting environments

Key Competencies

• Strategic analytics and AI thinking with operational execution
• People leadership and talent development
• Executive communication and stakeholder influence
• Data ethics, governance, and risk awareness
• Continuous improvement and innovation mindset

Success Measures

• Increased adoption of BI and AI-enabled insights across the enterprise
• Consistent, trusted, and explainable KPIs and AI outputs
• Improved time-to-insight and decision quality
• Strong governance, security, and audit outcomes
• Demonstrated business value from analytics and AI initiatives

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

What You'll Do

At HG Insights, we run one of the most data-rich go-to-market environments in B2B SaaS. We're looking for a Senior AI GTM Automation Engineer who will sit inside our Sales Engineering and Solutions team and build the tools, integrations, and AI-powered workflows that make our Sales Engineers, Solutions Engineers, and Enterprise CSMs dramatically more effective.

This is a force-multiplier role. You'll embed with revenue teams, understand their daily jobs to be done, and turn manual, repetitive work into fast, reliable automations—so our best people spend their time on the work only humans can do.

Core Responsibilities

• Workflow discovery: Shadow and interview Sales Engineers, Solutions Engineers, and Enterprise CSMs to map their day-to-day workflows and build a prioritized automation backlog ranked by impact and effort
• Sales Engineering tools: Build data-assembly tools that pull from HG's APIs, automate technical discovery prep, and generate proof-of-concept materials—reducing manual pre-call and post-call work for SEs
• Solutions Engineering tools: Automate the generation of technical scoping docs, integration-architecture diagrams, and solution briefs; maintain a reusable library of solution templates and sandbox configurations
• Enterprise CSM automations: Build automations for account health briefs, QBR summaries, risk-detection alerts, and personalized outreach workflows using data from Vitally, Salesforce, and Slack
• AI-powered workflow engineering: Design and deploy LLM-based workflows using Claude and the Claude Agent SDK—building agents, MCP server integrations, and agentic pipelines that operate across the GTM tool stack
• Platform ownership: Maintain and evolve the internal GTM automation stack; document every tool so teams can self-serve; instrument monitoring so failures surface quickly

What We're Looking For

Experience

• 3–7 years in a technical role—software engineering, solutions engineering, RevOps engineering, or a closely related field
• Demonstrated track record of building internal tools or automations that eliminated manual work for a GTM or customer-facing team
• Hands-on experience integrating with SaaS APIs (Salesforce, Slack, HubSpot, Vitally, or similar)

Technical skills

• Expert-level user of Claude Code—you use it daily, understand its agentic capabilities, and can build production workflows with it
• Proficiency in Python and/or JavaScript/TypeScript for scripting, API integration, and automation
• Working knowledge of MCP (Model Context Protocol) servers and LLM-based agent frameworks
• Comfort with workflow automation platforms such as n8n, Zapier, or Make
• Familiarity with the GTM tool ecosystem: Salesforce, Vitally, Slack, Gong, Granola, Outreach, or equivalent

How you work

• Business mindset: You understand that tools are only valuable if people use them—you design for adoption, not just functionality
• Discovery-first: You run structured discovery sessions with non-technical stakeholders and translate fuzzy pain points into scoped, buildable solutions
• Ship fast, iterate often: You prefer a useful tool in users' hands over a perfect tool on a roadmap
• High reliability bar: If an automation breaks, the team loses trust—you build with monitoring and graceful failure in mind

Nice to have

• Experience working in or embedded with a Sales Engineering, Solutions Consulting, or Customer Success team
• Familiarity with HG Insights products and use cases—technology intelligence, installed-base data, or intent signals
• Prior experience building Claude-powered agents or working with the Anthropic API at a production level

Why HG Insights

We're the global leader in technology intelligence—the data that helps the world's best B2B sales and marketing teams find and close the right customers. This role offers an uncommon combination of technical depth and business impact: you'll define your own roadmap, work directly with the teams you're serving, and see your work reflected in real revenue outcomes.

We offer competitive compensation, equity, and a team that genuinely invests in your growth as an engineer and as a GTM thinker.

HG Insights is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Reports To 

Sr. Manager - Embedded Systems / Sr Manager of Embedded Software 

What You Will Be Doing 

 As a Technical Program Manager, you will work to help the team understand requirements, help track and deploy embedded software solutions. 
 
Responsibilities 
 

• Working with product management, program managers, engineering managers, hardware, regulatory and other teams to understand and document technical requirements, ensure these are signed-off. 

• Ensure requirements are fully understood and implementation matches expectations. 

• Own and coordinate the embedded software release schedules and work with engineering managers to drive teams to meet committed delivery dates. 

• Actively groom the product backlog and ensure that the features and bugs are prioritized properly in a release 

• Help EPMs and EMs in managing scrum and agile methodologies 

• Evangelize and promote engineering best practices. 

• Work with customer support, QA and management to define errata for a release. 

• Actively work and influence next gen technology based requirements for the embedded software 

What You Will Bring to ChargePoint 

A Staff Technical Program Manager  drives successful delivery of complex, hardware‑software programs by aligning engineering execution with business goals. Through deep technical expertise and cross‑functional leadership, they proactively manage risks, dependencies, and quality across firmware, hardware integration, and regulatory constraints. At the staff level, they also scale impact by improving systems and processes, influencing technical strategy, and ensuring embedded platforms deliver long‑term reliability and customer trust.  

Requirements 

• Demonstrated ability to deliver and support embedded and/or cloud-connected software running on commercial/industrial hardware. 

• Demonstrated ability and inclination to make critical system-level design decisions to drive projects from start to finish 

• Experience with working through bring up and delivery phase of new embedded systems / technology products 

• 8+ years of experience working on embedded system products using C/C++ 
• BS in Computer Science or equivalent (MS preferred) 

Preferred 

• Exposure in connectivity architecture using Wireless (Cellular, Wi-Fi, Bluetooth and NFC), and wired (Ethernet, CAN) interfaces a plus 

• C/C++ coding in a Linux environment; modern C++ is preferred 

• Working with EV / EVSE products is a big plus 

Location 

Gurgaon, India 

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

#P16568_3435773
#LI_Hybrid

Senior DevSecOps Engineer

Position Summary

The Senior DevSecOps Engineer will be embedded within product engineering teams to implement and maintain secure, automated, and reliable delivery pipelines while following standards, frameworks, and guardrails set by the DevSecOps Center of Excellence (CoE).

This is a hands-on role that reports to the Manager of DevSecOps and works directly with developers, SREs, and product managers to enable faster, safer deployments, cost-efficient infrastructure, and adherence to enterprise security policies. The engineer will collaborate closely with Principal and Senior Staff DevSecOps engineers for technical guidance and mentoring while operating within the centralized DevSecOps leadership framework.

Key Responsibilities

Product Line DevSecOps Execution

· Build and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD) for the assigned product line.

· Integrate security testing (SAST, SCA, DAST, container scanning) into build and deployment workflows.

· Apply CoE standards, templates, and automation frameworks consistently within product environments.

· Troubleshoot and resolve DevSecOps issues, escalating complex challenges to Staff/Principal engineers.

Infrastructure & Automation

· Implement Infrastructure-as-Code (Terraform, CloudFormation) for product infrastructure.

· Adopt GitOps practices for repeatable and auditable infra provisioning.

· Ensure infrastructure deployments comply with security guardrails, tagging, and cost controls.

Observability, Security & Compliance

· Collaborate with SREs to enable monitoring, logging, and observability (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Ensure pipelines and infrastructure comply with HIPAA, SOC2, and internal security standards.

· Embed IAM, KMS, GuardDuty, Security Hub into workflows for cloud security posture.

FinOps & Cost Awareness

· Implement CoE-defined cost governance practices in product pipelines.

· Ensure workloads are tagged, right-sized, and cost-efficient.

· Provide cost visibility to product teams and support FinOps reviews.

Collaboration & Continuous Improvement

· Work closely with developers, QA, SRE, and product managers to support secure and efficient delivery.

· Participate in CoE knowledge-sharing sessions, playbooks, and Communities of Practice.

· Contribute feedback from product teams back into the CoE to improve standards and frameworks.

· Continuously learn from Staff and Principal engineers and apply best practices within the product line.

Qualifications & Experience Required

· 8+ years in DevOps, Cloud, or Security Engineering.

· Strong hands-on experience with CI/CD pipeline tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD).

· Proficiency in AWS services (EKS, ECS, EC2, S3, IAM, Security Hub, GuardDuty).

· Hands-on with containers & Kubernetes (Docker, EKS).

· Experience with Infrastructure-as-Code (Terraform, Pulumi, CloudFormation).

· Familiarity with observability platforms (Prometheus, Grafana, OpenTelemetry, New Relic, CloudWatch).

· Programming/scripting in Python, Go, or shell scripting.

· Strong collaboration skills in cross-functional product teams.

Preferred

· Experience in SaaS or healthcare software environments.

· Knowledge of databases (MongoDB, Elasticsearch, SQL).

· Familiarity with compliance frameworks (HIPAA, SOC2, ISO 27001).

· Certifications: AWS Security Specialty, CKA/CKAD, FinOps Certified Practitioner

Role:  AI Training Manager

Location:  Remote until further notice

About the role -

This is an opportunity to join Brandtech Plus, embedded within a global FMCG organisation, as an AI Trainer delivering hands-on AI capability programmes for internal teams.

AI is reshaping how creative and marketing work gets done — and this role puts you at the centre of that shift. Based in India, you'll deliver training that builds genuine, practical AI proficiency across a range of learners: from onboarding new team members to upskilling client contacts. Your ability to translate complex AI concepts into clear, actionable learning experiences will enable people to work with greater confidence, quality, and efficiency

What you will be doing:

• Deliver live and asynchronous AI training sessions for internal teams and FMCG client stakeholders, adapting content and approach to different experience levels and learning needs
• Run onboarding workshops that embed AI tools and workflows from day one
• Facilitate hands-on, practical sessions that build real capability — not just awareness
• Host regular office hours and troubleshooting clinics to support ongoing adoption across teams
• Manage and maintain training calendars, ensuring sessions are well-planned, communicated, and resourced
• Collect and analyse participant feedback; report insights and recommendations to the Enablement Lead
• Keep training materials, guides, and resources current as tools and workflows evolve
• Identify skill gaps and adapt programme content and delivery accordingly
• Build effective working relationships with internal and client stakeholders to ensure training lands well

What you need to be great in this role:

• Experience designing and delivering AI capability training for varied audiences — including internal teams and external client or stakeholder groups
• Solid understanding of generative AI tools and their practical application in creative, marketing, or content workflows, with the ability to teach these clearly and confidently
• Strong facilitation skills: able to engage learners of different backgrounds and adapt delivery in the moment
• Experience tailoring content for different learning styles, cultural contexts, and seniority levels
• Ability to translate technical AI concepts into clear, practical, jargon-free learning experiences
• Good communication and stakeholder management skills; comfortable working with and presenting to senior contacts
• Experience managing training logistics: scheduling, materials, calendar management, and feedback collection
• A structured, proactive approach to planning and running training programmes

Gen AI & Agentic Thinking

• Proficiency with generative AI tools relevant to creative, marketing, or content workflows
• Experience building AI-assisted workflows and the ability to train others on effective, responsible usage
• Ability to critically evaluate AI outputs and apply human judgement — and to teach others to do the same
• Agentic approach to problem-solving: breaking down complex training challenges into clear, manageable steps

Req ID - 17530

#LI-PG1 #BTG+

Join the Bloomreach GIST (Global Information Security & Technology) team as an Associate Security Analyst and help protect our e-commerce environment from threats, vulnerabilities, and sophisticated attackers. Your work will have a significant impact on numerous customers across various e-commerce verticals and hundreds of millions of online users. As a core member of our globally distributed 24/7 Security Operations Team, you can work full-time from our India offices or from home.

Your job will be (but not limited to)

● To Monitor, analyze & interpret security/system/application/infrastructure logs for events, configuration irregularities & potential incidents
● To leverage security tools, custom built dashboards and/or proactive identification approaches to detect anomalous activities
● Monitoring Cloud infrastructure for security-related events
● Monitoring threat/vulnerability landscape and security advisories, coordinate and escalate as appropriate
●To work with application security teams, product specialists, GRC, legal teams on active incidents and/or investigations
● To participate in a major incident call, document incident report summaries
● To document, follow and execute standard operating procedures (SOPs)
● Documenting/Managing/maintaining & following use cases, playbooks and/or knowledge base articles
● To work on incidents, requests related to security
● Owning responsibilities within a shift with a positive mindset towards growth & upskilling

Professional experience, skills & requirements

● 2+ years of hands on experience as part of a 24*7 Security Operations team OR a starter with equivalent degree/specialization in the area of Cyber Security with a proven project dealing in the new age landscape (SaaS platform Security, SecOps, API/Container Security, Threat Intel/Hunting, Vulnerability Management).
● Hands on experience or deep knowledge on usage of SIEM, SOAR, EDR ( modules like TI, VM, DLP)
● Exposure or experience in using any of CSPM tools (SentinelOne, Falcon Horizon, Wiz,Sysdig,Prisma cloud,MS Defender)
● Exposure or experience in assessing, interpreting & managing vulnerabilities using relevant tools.
● Knowledge of either AWS or GCP is must
● Should possess positive attitude to participate, own & drive tasks for POCs for various tools
● Understanding of risk framework
● Ability to assess emerging trends & threats in cyber security space
● Should possess good analytical, problem-solving, and interpersonal skills. Should be able to apply & provide logical reasoning
● Knowledge of NIST framework, OSINT standards, MITRE ATT&CK framework & cybersecurity incident lifecycle is an advantage. Beginner level of understanding is mandatory
● Mandatory to work in a 24/7 rotation shift & weekends
● Possess excellent command on communication in English being a good listener, speaker & reader 

Your success story will be:

In the first 30 days you will

● Understand the roles & responsibilities of SOC team, in-scope vs out of scope tasks
● Read & understand SOPs, Policies & working procedures of the team
● Shadow peers in day to day work, overlook tickets, alerts, incidents, understand the current state of ongoing projects/enhancements etc

In the next 30 days you will (60 days from start)

● Start owning incidents, tasks as independent contributor with a peer shadowing you
● Participate in incident related calls, cross team/department meetings
● Handle SIEM/SOAR/EDR events

In the next 30 days you will(90 days from start)

● You will start documenting or tweaking existing SOPs, process document
● You will bear responsibilities of representing team in forums/meetings/discussions
● You will start managing shift alone when needed
● You will adapt yourself to service improvement mindset and contribute to overall success of the team

About the Role:

We’re a growing SaaS startup building our security team from the ground up. We’re looking for a hands-on Product Security Engineer who enjoys breaking things (responsibly) and helping teams fix them fast.

This role is very practical and impact-driven. You’ll be embedded close to the product and engineering teams, proactively attacking our own systems before anyone else does. If you like moving fast, owning problems end-to-end, and thinking like a real attacker, this role is for you.

What You'll Do:

• Actively test our SaaS product for security vulnerabilities across web apps, APIs, and cloud infrastructure.
• Perform manual security testing and targeted penetration tests (beyond automated scanners).
• Implement and help implement automated security test suites.
• Identify abuse cases, business logic flaws, and real-world attack paths.
• Work directly with engineers to reproduce issues and drive fixes.
• Help introduce lightweight security practices into the development process (threat modeling, secure design reviews).
• Validate fixes and ensure issues are fully resolved.
• Stay current on new vulnerabilities, attack techniques, and SaaS-relevant threats.

What You'll Bring:

• 5+ years of experience in application security, offensive security, or penetration testing.
• Strong understanding of web and API security (OWASP Top 10, auth, sessions, access control).
•  Experience testing modern SaaS products.
• Comfort working in cloud environments (AWS / GCP / Azure at a practical level).
• Experience with common security testing tools (Burp Suite, Nuclei, etc.).
• Ability to communicate findings clearly and pragmatically to engineers.
• Self-starter mindset — comfortable operating with limited process and high ownership.

Preferred, but not required:

• Startup experience or early-stage product exposure.
• Bug bounty or responsible disclosure experience.
• Secure code review experience (any major language).
• Familiarity with CI/CD and modern SDLC security.
• Offensive security certifications (OSCP, GWAPT, etc.).

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

Reports To

Software Engineering Manager

We are seeking a Senior Software Engineer to play a vital role in developing our Energy Management platform. In this influential position, you will help shape, build, and sustain a robust suite of micro-services. Your work will significantly affect our long-term technical

strategy. This role demands practical experience in every stage of microservice development, including architecture design, coding, deployment, and monitoring.

What You Will Be Doing

• As a member, you will participate in major initiatives and opportunities, demonstrating your well-rounded skills in communication, technology, and execution to bring a project from inception to general availability for customers.
• You will play a key role in designing industry-leading standards and solutions to develop new solutions and scale ChargePoint to support real-time communication with millions of charging stations.
• As part of the Energy Management team, you will represent Cloud services by executing initiatives in collaboration with cross-functional teams such as Product, Embedded Platform, Quality, Support, and Operations.
• Your goal is not only to resolve their concerns but also to work with them to define and build better solutions. You will work on code directly impacting the business, including developing and maintaining real-time Energy Management solutions that optimise EV charging efficiency.
• Additionally, you are expected to improve the team by contributing to code reviews, documentation, and the development process. You will also champion organisational principles by helping to define and uphold them.

Requirements

• 4+ years of experience building back-end software
• Hands-on with JVM Language is a must, such as Java/Kotlin
• Working experience with Spring Boot, Kafka, and Kubernetes,
• Working experience with modern software architecture components (e.g. Distributed Systems, Containerization, Micro Services, Observability, etc.)
• Working experience in one of the cloud providers (AWS, GCP, Azure, etc.)
• Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering, and Math)
• Good in CS fundamentals - data structures, algorithm design, problem-solving, and complexity analysis.

Personal/Leadership Attributes

• Voices opinions and presents a clear rationale. Uses data or factual evidence to influence.
• Learns the organisation’s vision statement and decision-making framework.
• Able to understand how the team and personal goals/objectives contribute to the organisation’s vision.
• Completes assigned tasks on time and with high quality.
• Has the ability to break down problems and estimate time for development tasks.
• Identifies opportunities for innovation and offers new ideas. Takes the initiative to experiment with new software frameworks
• Adapts to new environments and changing requirements. Pivots quickly as needed. When coached, responds to need & seeks info from other sources.

Location

Bengaluru, India

About The Position

Clinical Architecture is seeking a Software Test Lead to join our team in the Indianapolis, IN area. The Software Test Lead will have experience with healthcare messaging and will oversee quality assurance initiatives across our software products. The ideal candidate will bring expertise in validating complex healthcare systems, ensuring data integrity, and supporting interoperability workflows. This role requires strong analytical thinking, hands-on testing skills, and the ability to collaborate across Engineering, Product, and Automation teams to drive a culture of quality.

• This role is required to be on site at our Carmel, IN Headquarters. Clinical Architecture offers ample flexibility to accommodate a healthy work-life balance. 
• Applicants must be authorized to work in the U.S. without sponsorship. 
• Providing false information on application questions may result in automatic dismissal of your application. Please answer questions truthfully and to the best of your ability.

Responsibilities

Quality Assurance and Testing:

• Analyze software requirements to ensure clarity, completeness, and testability.
• Design, document, and maintain comprehensive test cases and support test artifacts.
• Execute tests to validate functionality, usability, and overall product quality.
• Perform exploratory, ad-hoc, regression, load, and system testing.
• Validate software performance across multiple environments.

Defect Management and Validation:

• Detect, report, and track defects throughout the development lifecycle.
• Re-test resolved defects to ensure proper fixes are implemented.
• Traverse and validate database entries using SQL queries.
• Research and replicate customer-reported issues to support effective troubleshooting.

Collaboration and Communication:

• Conduct peer reviews of test plans, requirements, and design documents.
• Participate in design reviews to ensure quality standards are embedded early.
• Communicate effectively with Engineering regarding system issues and defects.
• Partner with Product Management to clarify requirements and identify gaps.
• Review end-user documentation, providing guidance on content accuracy and usability.

Process Improvement and Leadership:

• Provide insights and recommendations to improve Product Quality processes and efficiency.
• Support the Automation team by supplying test scenarios, use cases, and test data.
• Develop deep understanding of Clinical Architecture’s products and workflows.
• Champion a culture of quality across the organization.

Qualifications

• Associate degree in Computer Science, Information Technology, or equivalent work experience.
• 5+ years of experience testing applications for usability, functionality, and performance.
• Hands-on experience validating software using SQL queries.
• CTFL or equivalent QA certification preferred.
• Experience with API testing, including test tools such as Postman, Swagger, or automation frameworks preferred.
• Coding or scripting experience preferred.
• Healthcare messaging experience (e.g., HL7, FHIR, CCD, X12) preferred.

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives; working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and comfortable being deeply embedded across several domains, this role is for you!

You’re excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

We’re excited about you because…

• 5+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Expertise in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g., S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Excellent communication skills and experience working with technical and non-technical teams
• Comfortable working in fast fast-paced environment, self-starter, and self-organizer
• Ability to think strategically, analyze, and interpret market and consumer information

Nice to Have

• Experience with modern data warehousing platforms (e.g., Snowflake, Databricks, Redshift) and ability to optimize performance
• Experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster, DBT)
• Familiarity with experimentation concepts like A/B testing and their data requirements

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

What This Role Is

Manifest Global operates four brands across 50+ countries, each serving a different part of the international education ecosystem. Cialfo works with 2,000+ schools and the counsellors inside them. BridgeU serves international schools across the UK, Europe, and the Middle East. Explore works with university partners on their international recruitment strategy. Kaaiser has been placing students from India and Southeast Asia into universities across Australia, the UK, Canada, and beyond since 1997.

Each of these businesses has a distinct audience, a distinct stage of market maturity, and a distinct story to tell. Right now, the content function that serves them is fragmented. There's no central engine, no shared infrastructure, no consistent standard for how Manifest's brands show up in writing across any channel. That gap is real and it costs us.

This role builds the engine that closes it.

The Head of Content, B2B will design and run a centralised content function that serves all four brands the way a high-performance internal agency would. You'll own the strategy, the team, the systems, the quality standard, and the connection between content output and commercial outcome. This is not a writing role or a channel management role. It's an operational leadership role for someone who thinks in systems, builds for scale, and understands that content without commercial consequence is just production.

What Makes This Role Different

Most senior content roles sit inside a single brand with a single ICP and a reasonably stable strategy. This one sits across four brands with different buyer types, different competitive landscapes, and different levels of market awareness.

That's genuinely complex. The person who does it well has to context-switch between the counsellor audience at Cialfo, the university admissions audience at Explore, the international school leadership audience at BridgeU, and the student-facing and agent-facing audiences at Kaaiser, without losing the thread of what makes each brand distinct. They also have to hold the group-level narrative together, making sure Manifest's overall positioning is coherent even when the brand-level stories are pointing in different directions.

The content landscape itself is also shifting fast. The channels, formats, and tools that defined B2B content marketing three years ago are not the ones that will define it three years from now. The person in this seat needs to be genuinely ahead of that shift, not catching up to it. That means going well beyond LinkedIn and traditional content playbooks, and it means using AI as a real capability multiplier rather than a productivity shortcut.

The Manifest group is growing while the broader overseas education sector is contracting. The content function that tells that story well, across the right channels, to the right audiences, at the right moment in their decision journey, is a genuine commercial lever. Building that function from this seat is the opportunity.

What You Own

Content strategy across all four brands

• Define distinct content strategies for Cialfo, BridgeU, Explore, and Kaaiser, grounded in the specific ICP, market maturity, and commercial goals of each business
• Translate those strategies into content-led growth plans that connect directly to pipeline, sales enablement, and customer education, not just traffic and engagement metrics
• Build and maintain the founder and authority-driven narratives that shape how each brand is perceived in its market, working closely with leadership to develop thought leadership platforms that earn attention rather than just occupy space
• Go beyond what B2B content has traditionally looked like: video, audio, community, interactive formats, channel partnerships, and distribution models that most content teams in this space haven't tried yet

The central content engine

• Design and operate a centralised content team structured as an internal agency, with clear pods, resource allocation across brands, and defined workflows that can scale without constant intervention
• Own the infrastructure: editorial calendar systems, production workflows, quality control frameworks, briefing standards, and the feedback loops that keep output improving over time
• Build AI into the team's operating model from the ground up, not as an experiment but as a core capability. Identify where AI accelerates ideation, research, production, and distribution, implement it, and build the team's fluency so that the function gets faster and better as the tooling improves
• Set the quality standard and hold it across every piece of content that goes out under any Manifest brand

Team leadership

• Lead a team of writers, strategists, freelancers, and agencies, and build second-line leaders who can run significant parts of the function independently
• Hire well and structure the team for the work it actually needs to do, not the work a generic content team does
• Actively develop the team's AI literacy, advocate for AI adoption across the broader marketing function, and model what it looks like to use these tools with judgment rather than just enthusiasm
• Move the function from execution support to strategic growth partner, which means changing both the team's capability and how the rest of the business thinks about what content is for

Content to revenue alignment

• Partner with Marketing, Sales, and Leadership across all four brands to ensure content is driving pipeline, supporting sales conversations, and educating customers in ways that move them forward
• Build systems to track content ROI and conversion impact, not vanity metrics. Know what is working, why it is working, and where to invest next
• Be the person who can sit in a commercial review and speak about content's contribution to the business in terms that the commercial team finds credible

Distribution and performance

• Own not just creation but distribution strategy, with a clear view of what each channel requires and how they work together. LinkedIn is part of that picture, not the whole picture
• Bring genuine curiosity to distribution channels and formats that most B2B content teams in this sector haven't fully explored: community-led content, podcast and audio formats, co-created content with university and school partners, event-based content systems, and whatever else the evidence suggests is worth building
• Build AI-assisted distribution and optimisation into the team's workflow, using it to personalise at scale, test faster, and improve performance without proportionally increasing headcount
• Continuously optimise based on performance data, and build the team's capability to do the same without needing direction on every decision

What Success Looks Like

The markers below reflect where the content function is today. We'll calibrate the specifics once you're in the seat. These are directional, not fixed.

You'll start by building a clear picture of what exists across the four brands, what's working, what's missing, where the quality gaps are, and where the highest-leverage places to invest are. You'll have a point of view on where to build first and which channels and formats are most underexploited.

From there, the content engine will be taking shape. Editorial systems will be running. The team will have clear structure and clear ownership. AI will be embedded in how the team works, not bolted on. At least some of the brand narratives will be sharper than they were before you arrived, and there will be early evidence of content contributing to pipeline rather than just producing output.

Over time, Manifest will have a content function that the commercial teams across all four brands actively rely on, that builds genuine market authority for each brand, and that runs with enough infrastructure and second-line leadership that it doesn't depend on you being in every decision. That's what a well-built content engine looks like.

The specifics will be calibrated once you're in the role. The direction won't change.

What You Bring

You have twelve to fifteen years in B2B content, content marketing, or brand strategy, and a meaningful part of that has been building and running functions rather than contributing to them. You've managed multi-brand or multi-product content before. You've led teams of five to twenty or more people. You know what it takes to build the systems that make a content team consistent and scalable, and you've done it in environments where the commercial expectations were real.

You think in workflows and resource allocation, not just editorial calendars. You've built briefing systems, quality control frameworks, and production infrastructure. You understand that the operational side of a content function is what makes the creative side sustainable.

You're commercially literate. You can connect a content decision to a business outcome and have that conversation with a sales leader or a CFO without needing to translate. You've built attribution and reporting systems that tracked something more meaningful than page views, and you know what good content ROI measurement actually looks like in practice.

You have a genuinely expansive view of what B2B content can be. You've built beyond LinkedIn and the standard playbook, and you have real examples of formats, channels, or distribution models that most teams in your space weren't doing. You're not done exploring.

You're openly enthusiastic about AI as a creative and operational tool. You've used it seriously, not just dabbled. You have a clear view of where it accelerates good work and where it produces mediocre output at speed, and you know how to build a team that uses it with that kind of judgment. You advocate for AI adoption because you've seen what it enables, not because it's the current thing to be seen adopting.

You can context-switch across different brand voices, buyer types, and market stages without losing clarity on what each brand needs. You've done this before, either in a multi-brand role or in an agency environment where the client roster demanded it.

Most importantly, you read the description of what Manifest is building across four brands and thought: I know exactly how to build the content function this needs. That's who this role is for.

Why Manifest

Manifest Global is building the infrastructure for global human capital mobility, connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counselling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counselling since 1997 across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that.

For this role specifically, content is one of the primary ways Manifest's brands build authority and generate pipeline in markets where trust is the deciding factor. The counsellors, school leaders, university admissions officers, and agents that our brands serve are all operating in a world with a lot of noise. The content function that cuts through that noise, consistently, across four brands and multiple markets, is doing genuinely high-leverage work. Building that function from this seat is the opportunity.

Manifest Global is building the infrastructure for global human capital mobility, operating across 50+ countries with $80M raised from Tiger Global, SIG, and Square Peg.

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

About Manifest Global

Manifest Global is building the infrastructure for global human capital mobility -connecting students, schools, universities, and employers across 50+ countries. Our portfolio spans Cialfo (AI-powered college counseling, 2,000+ schools), BridgeU (university guidance for international schools globally), Kaaiser (trusted study abroad counseling across India and Southeast Asia), and Explore (AI-powered university outreach, 1,000+ university partners). Together, we move talent across borders at scale. $80M raised. Still early.

About This Role

Manifest Global operates four brands across 50+ countries, generating data across thousands of schools, hundreds of thousands of students, and 1,000+ university partners. Counselor behaviour, student application journeys, university conversion rates, placement outcomes, attribution revenue - it's all there. The data exists. The question is whether the infrastructure around it is good enough to make it useful.

Right now, the data platform works. Pipelines run, the warehouse holds data, the BI layer surfaces reports. But Manifest is growing - new brands, new markets, new activation use cases - and the infrastructure needs to scale with it. There are pipelines that need to be more reliable. Transformation logic that needs to be cleaner. Warehouse design that needs to handle more volume without degrading performance. And an activation layer - reverse ETL, operational analytics, data flowing into the tools the business actually uses - that is still being built.

As a Senior Data Engineer, you will own significant parts of the data platform end to end - ingestion, transformation, warehouse, activation - and you will be one of the people who determines whether Manifest's data infrastructure is a genuine competitive advantage or a persistent constraint. You will work closely with Principal Engineers, Product, and business stakeholders across all four brands, and you will be expected to operate with the ownership and judgment of someone who has built production-grade data systems before.

What makes this role different: Manifest has real data - cross-brand, multi-geography, commercially significant data. The stack is modern: Snowflake, dbt, Hevo, Airtable, Metabase. The problems are real. And when the data infrastructure surfaces the right insight, it changes a decision that affects real students and real institutions.

AI is central to how we build: This isn't just a data engineering role - it is a role where you will actively design and build AI infrastructure that accelerates the team's own development velocity. We use Snowflake Cortex AI with Claude in our daily engineering workflow - for debugging, RCA, query optimisation, and pipeline analysis. We have already cut root cause analysis time. The next step is embedding AI deeper: automated ticket handling, intelligent monitoring, and AI-assisted development tooling that lets the team move faster without sacrificing reliability.

What You Will Own

1. AI Infrastructure for Data Engineering

• Design and build AI-assisted development tooling - LLM-powered code generation for dbt models, SQL transformations, and pipeline scaffolding that dramatically reduces time-to-production for new data assets
• Build intelligent data quality and anomaly detection systems - AI-driven monitoring that learns normal patterns across pipelines and surfaces anomalies before they propagate downstream, replacing manual threshold-based alerting
• Implement AI-augmented data cataloguing and lineage - automated documentation generation, schema understanding, and semantic tagging so engineers spend less time writing docs and more time building
• Develop AI-powered pipeline debugging and root cause analysis - tooling that diagnoses failures, traces impact through the DAG, and proposes fixes rather than requiring engineers to trace failures manually
• Build and maintain the infrastructure that supports AI features - vector stores, embedding pipelines, retrieval layers, and model serving infrastructure that powers AI capabilities across Cialfo, BridgeU, and Explore
• Evaluate and adopt emerging AI developer tools - stay ahead of how AI tooling (Claude, Cortex AI, GitHub Copilot, LLM APIs) can be embedded into the team's workflow to shorten feedback loops and accelerate feature delivery

2. Data Warehouse Design, Cost & Maintenance

• Own significant portions of the Snowflake data warehouse - schema design, performance optimisation, and the integrity of the data models that the rest of the stack depends on
• Apply strong data warehousing methodologies: dimensional modelling, layered transformation logic, clear separation between raw, staged, and served layers
• Design and build cross-brand data primitives - shared, canonical data layers for K12, Student, University, and Application data that work consistently across Cialfo, BridgeU, and Kaaiser. This is active work and a critical foundation for the multi-brand data platform
• Own Snowflake cost optimisation - monitor warehouse spend, identify high-cost queries and sync jobs, right-size warehouse configurations, and drive measurable reductions in monthly compute spend.
• Ensure the warehouse handles increasing data volumes from across all four brands without degrading query performance or downstream reliability

3. ETL/ELT Pipelines, Scheduling & Transformation Logic

• Design, build, and maintain production-grade data pipelines - ingestion via Hevo or similar, transformation via dbt, SQL-based logic that is clean, documented, and maintainable
• Design and manage Snowflake Task DAGs - build and maintain dependency-chained task graphs for ingestion, LLM processing, and sync workflows. Understand how to structure root tasks, child tasks, CRON scheduling, warehouse assignment, and failure isolation so pipelines don't cascade-fail
• Own Airtable as an operational data layer - manage Snowflake-to-Airtable and Airtable-to-Snowflake sync workflows, including the SNOWFLAKE_TO_AIRTABLE_TABLELIST sync config, upsert logic, incremental filters, and sync cost optimisation. Airtable is both a key data source and a reporting destination across brands
• Build and own reverse ETL workflows that activate warehouse data into operational tools - getting the right data into the hands of the teams that need it, not just into dashboards
• Take full ownership of pipeline failures: root cause identification, fix, downstream impact analysis, and prevention - not just resolution

4. Data Quality & Reliability

• Define and enforce data quality standards across datasets you own - automated validations, delta checks, row counts, time-based monitoring
• Build monitoring and alerting that surfaces problems before they reach the business
• Document data lineage, transformation assumptions, and technical decisions so the platform is understandable and maintainable as the team grows

5. BI Platform & Reporting

• Maintain and enhance the existing BI layer - Metabase and build reporting interfaces that non-technical stakeholders can actually use
• Collaborate with Product and Analytics teams to translate business needs into reliable technical solutions
• Communicate clearly across all four brands - be the person who can explain a data problem in business terms and a business problem in data terms

What Success Looks Like

You'll start by building a complete picture of the current state - which pipelines are fragile, where data quality is inconsistent, what the highest-impact improvements look like, and where activation use cases aren't yet built. You will have a point of view on where to move first.

From there, the infrastructure will be measurably more reliable. Pipelines that were breaking will run consistently. Data quality issues will be caught early or prevented entirely. The BI layer will be getting used - not just maintained.

Over time, the data platform will be something the business genuinely relies on - fast enough to support the pace of growth, reliable enough that data consumers trust what they are looking at, and built in a way that the next engineer who joins can understand and extend without starting from scratch.

About You

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience

Experience

• 5+ years building and maintaining production-grade data pipelines and data warehouses - not prototypes, but systems that real business decisions depend on
• Strong experience architecting and implementing large-scale business intelligence solutions
• Strong experience in data warehouse design and advanced SQL
• Hands-on experience with the modern data stack: Snowflake (or equivalent cloud warehouse), dbt, Hevo or Airbyte or similar
• Advanced SQL proficiency: CTEs, window functions, QUALIFY, query optimisation, and understanding the difference between SQL that works and SQL that scales
• Experience with Snowflake-native features: Task DAGs, Dynamic Tables, Snowflake Cortex AI, AI_COMPLETE, warehouse sizing, and query profiling
• Experience with Airtable as an operational data layer - syncing data between Snowflake and Airtable, managing upsert logic, and keeping sync costs low
• Experience owning Snowflake cost monitoring and optimisation - identifying expensive queries, bloated sync jobs, and warehouse over-provisioning
• Experience with user-facing BI tools: Metabase, Looker, or similar
• Experience working in agile, ticket-based workflows (Jira)
• Experience building or integrating AI/LLM tooling into data engineering workflows - specifically Snowflake Cortex AI, or LLM APIs (OpenAI, Anthropic, etc.) for structured data tasks, fuzzy matching, or pipeline automation
• Familiarity with vector databases, embedding pipelines, or retrieval-augmented generation (RAG) infrastructure is a strong plus
• Exposure to MLOps or AI infrastructure patterns - model serving, feature stores, or AI monitoring - is an advantage

Skills & Qualities

• You take ownership of reliability. When a pipeline fails, you don't just fix the immediate problem - you understand why it happened, what it affected downstream, and what needs to change so it doesn't happen again
• You communicate clearly with non-technical stakeholders. You've sat in a requirements conversation with a commercial or product team, understood what they were actually asking for, and built something that answered the real question
• You document your work well enough that someone else could maintain it - data lineage, transformation assumptions, technical decisions
• Comfortable working in a multi-brand, multi-stakeholder environment where data problems span different systems, teams, and geographies
• Strong problem-solving skills and attention to detail
• Ability to hold multiple priorities simultaneously and make good judgments about what to work on first
• You're genuinely excited about AI as a force multiplier for engineering teams - you actively use AI tools in your own workflow and have a point of view on how they can make data teams faster without sacrificing reliability

Why Manifest

We're building the infrastructure for global human capital mobility - the rails that move students, schools, universities, and employers across 50+ countries. Cialfo is in 2,000+ schools. Explore is trusted by 1,000+ universities. BridgeU runs across the UK, Europe, and the Middle East. Kaaiser has guided students across India and Southeast Asia since 1997.

The opportunity is real. $700B flows annually in remittances from migrant workers. 85M workers will be missing from developed economies by 2030. We're building the operating system that changes that.

$80M raised from Tiger Global, SIG, and Square Peg. Still early.

The team has already built the infrastructure for AI-native engineering - shared conventions, a live skills library, AI-assisted workflows across engineering, QE, product, and design. Saige is in production. Explore's AI capabilities are in production. This isn't an aspiration we're hiring you to bring to life. It's an operating system we're hiring you to extend, scale, and make permanent.

Here's a summary of the role:

If you're a compliance professional who believes that the best controls are the ones that run themselves — this one's for you.

As a Compliance Engineer on our Continuous Controls Assurance team, you'll sit at the intersection of compliance, engineering, and business process — your mission being to make compliance a living, automated reality rather than a periodic exercise. You'll inject compliance directly into how the business operates, building the evidence, signals, and automation that lets us prove we do what we say we do.

This role is particularly suited to candidates who have worked across compliance frameworks and technical environments — whether in SaaS companies, cloud-native organisations, or forward-thinking internal audit and GRC functions — and who are comfortable translating control requirements into code, pipelines, and data.

You'll play a central role in maturing our controls assurance program, moving us from point-in-time testing toward continuous, automated monitoring that scales with the business.

Here's a breakdown of what you'll do:

• Design and build automated controls — translate control objectives across frameworks such as SOC 2, ISO 27001, and PCI DSS into automated tests, scripts, and monitoring logic embedded in business and technical processes
• Own continuous controls monitoring — develop and maintain pipelines that continuously collect, evaluate, and surface control evidence, flagging exceptions and deviations in near real-time
• Embed compliance into the SDLC and business operations — partner with Engineering, DevOps, and business teams to integrate compliance checkpoints, policy-as-code, and configuration validation into CI/CD pipelines and operational workflows
• Bridge GRC and Engineering — translate compliance requirements into technical specifications, and translate system behaviour back into auditable evidence — acting as the connective tissue between the two disciplines
• Maintain the controls evidence repository — ensure control evidence is automatically captured, timestamped, and stored in a format that supports internal review and external audit
• Support audit and assurance activities — provide automated evidence packages for external audits, reducing manual effort and improving audit quality and speed
• Identify and close assurance gaps — conduct control gap assessments, recommend improvements, and own the remediation pipeline through to closure
• Collaborate on policy and standard development — ensure that policies are written in a way that can be operationalised and tested, feeding back where policy language creates ambiguity in controls design

These are the essentials you'll need to get an interview:

• Experience in a compliance, GRC, or information security role within a SaaS or cloud-native organisation
• Hands-on experience with one or more compliance frameworks — SOC 2, ISO 27001, PCI DSS, or similar
• Demonstrated ability to automate compliance processes — using scripting (Python, Bash, or similar), APIs, or tooling such as Drata, Vanta, Tugboat Logic, or equivalent
• Familiarity with cloud environments (AWS, GCP, or Azure) and the controls that govern them
• Strong analytical skills — able to decompose a control objective into testable, measurable components
• Excellent written communication — able to produce clear control narratives, test procedures, and evidence documentation

It would be great if you had these too, but we'll support you if you don't:

• Experience with policy-as-code tools (e.g. Open Policy Agent, Conftest, Checkov, or AWS Config Rules)
• Exposure to CI/CD platforms (e.g. GitHub Actions, GitLab CI, Jenkins) and how compliance gates can be embedded within them
• Familiarity with SIEM, log management, or observability tooling in a controls assurance context
• A background that spans both technical and compliance disciplines — e.g. a developer who moved into GRC, or a compliance analyst who learned to code
• Relevant certifications such as CISA, CISSP, CCSP, AWS Security Specialty, or equivalent

Reports To

Director, Embedded Software 

What You Will Be Doing

As the Embedded Software Manager, you will lead a team of team leads and developers.   
 
Responsibilities: 
 

• Lead the design and development of our cloud-connected embedded systems; the team develops system software for application development, system integration, user interfaces, and cloud based management 

• Manage team of engineers who are designing new products and supporting our existing installed product base  

• Collaborate with members of the firmware, cloud, hardware, mechanical, regulatory, test, product and support teams during product design and implementation 

• Work closely with the SQA team to build out our automated testing infrastructure  

• Evangelize and promote engineering best practices by actively reviewing software code, design and architecture, code metrics 

• Coordinate software delivery schedules and drive teams to meet committed delivery dates  

• Recruit top engineering talent 

• Lead, coach and mentor direct reports to foster personal growth and teamwork  

• Maintain and foster a collaborative and challenging work environment 

What You Will Bring to ChargePoint

• A proven track record of leading teams that deliver cloud‑connected embedded software on commercial and industrial hardware at scale. 

•  Strong system‑level architectural judgment, with the ability to make critical design decisions and own delivery from concept through deployment and long‑term support. 

•  Deep technical expertise in Linux‑based embedded systems, including expert‑level C/C++ development and practical use of Python for automation and tooling. 

•  Experienced people leadership (5+ years), with a demonstrated ability to build, mentor, and retain high‑performing engineering teams while fostering a culture of quality, ownership, and collaboration. 

•  Hands‑on experience with embedded Linux platforms and BSPs, modern build systems, and production debugging in complex, field‑deployed environments. 

•  A strong appreciation for secure, connected systems, including cloud integration, networking, and industry‑grade security practices. 

•  A collaborative, cross‑functional approach—successfully partnering with cloud, hardware, QA, compliance, product, and support teams to deliver robust end‑to‑end solutions. 

•  Commitment to engineering excellence, including code quality, automated testing, scalable architectures, and predictable exAs the Embedded Software Manager, you will lead a team of team leads and developers.   

Requirements

• Demonstrated ability to deliver and support cloud-connected software running on commercial/industrial hardware  

• Demonstrated ability and inclination to make critical system-level design decisions and drive projects from start to finish  

• 5+ years managing a software development team  

• 7+ years of experience in developing embedded system products using C/C++, Python  

• Expert-level C/C++ coding in a Linux environment  
• BS in Computer Science or equivalent 

Preferred 

• Experience with Linux BSP platform including, file systems (ext4, UBIFS, JFFS2), sound system, and connected IoT systems, system software  

• Experience in asynchronous event driven architecture and developing scalable and latency-optimized distributed application services  

• Experience in PCI-DSS compliance secured cloud connectivity applications using HTTPS, Websockets, JSON, XML, Efficient Extensible Interchange (EXI), protobuf, openssl, IPSec, VPN, MAC filters, and network firewalls  

• Familiarity with embedded build environments - Yocto, buildroot, GCC, toolchain, Make, CMake, git, gdb, core dumps  

• Exposure in connectivity architecture using Wireless (Cellular, Wi-Fi, Bluetooth and NFC), and wired (Ethernet, CAN) interfaces a plus 

• Working with EV / EVSE products is a big plus 

Location

Gurgaon, India

OUR MISSION

At Redwood, we empower our customers with lights-out automation for their mission-critical business processes.

ABOUT US

Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next.

CORE VALUES

One Team. One Redwood

Make Your Own Weather

Obsess over Customer Success

Work the Problem

Be Curious

Own the Outcome

Respect Each Other

YOUR IMPACT

We are seeking a skilled Data Analyst with strong experience in BigQuery, SQL, and Qlik to support financial reporting and analytics. The ideal candidate will have a solid understanding of financial metrics, be comfortable working with large datasets, and translate complex data into clear, actionable insights for business and finance stakeholders. In this role, you will be responsible for analyzing financial and sales data, creating insightful reports, and providing strategic recommendations and driving data-driven insights and initiatives to optimize Financial performance and efficiency. This role involves interpreting complex data sets, identifying trends, and collaborating with cross-functional teams to optimize processes. Strong analytical skills, proficiency in data visualization tools, and the ability to communicate findings effectively are essential for this position.

YOUR EXPERIENCE

• 5 years of hands-on experience with data analysis tools and techniques (e.g., Salesforce, SQL, Python, R, Qlik/Tableau, Excel). SQL is a MUST HAVE.
• Experience in finance operations or data analyst role.
• Solid knowledge of financial reporting concepts and business finance
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.
• Strong attention to detail and accuracy.
• Passion for data and its ability to drive business results.
• Bachelor's degree in business administration, Statistics, Data Science, or a related field.

OUR MISSION

At Redwood Software, we unleash human potential. We empower our customers with lights-out automation for their mission-critical business processes.

ABOUT US

Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next.

CORE VALUES

One Team. One Redwood.

Make Your Own Weather

Obsess over Customer Success

Work the Problem

Be Curious

Own the Outcome

Respect Each Other 

YOUR IMPACT 

We are seeking a highly skilled and motivated Technical Writer to join our team and contribute to the  development of clear, accurate, and user-centric product documentation, In this role, you will leverage your understanding of workload  automation, extensions and user needs to create and maintain documentation that empowers our users  and aligns with business objectives for this innovative solution. 

• Produce and maintain high-quality, clear, and concise documentation for our workload automation products, including user manuals, implementation guides, API documentation, and release notes. 
• Translate complex third-party integrations, cloud services and technical features into easily understandable documentation tailored for various user personas.
• Collaborate closely with automation domain experts, engineers, product managers, and other stakeholders to gather information, clarify requirements, and ensure the accuracy and completeness of technical documentation. 
• Ensure documentation accurately reflects the latest product changes, releases, and enhancements, including updates to product functionalities and integrations.
• Work within a fast-paced Agile development environment, adapting to evolving priorities and timelines while maintaining documentation quality.
• Contribute to the continuous improvement of our documentation processes and workflows, incorporating best practices for clarity and accuracy in financial and technical content.
• Maintain a consistent style and tone across all documentation, adhering to established style guides and documentation standards. 
• Incorporate user feedback and analytics to continuously improve documentation effectiveness and usability.
• Stay up to date with industry trends, tools, and best practices to improve the documentation process and deliver high-quality content.

YOUR EXPERIENCE 

• Bachelor's degree in Computer Science, Technical Communication, English, or equivalent experience in a software development role combined with technical writing.
• 3+ years of technical writing experience for complex B2B SaaS solutions, with demonstrated familiarity in software development, user personas, and tailored documentation.
• Proven experience creating technical documentation with tools such as MadCap Flare (or similar desktop-based authoring tools), HTML, XML, and Javascript. 
• An understanding of or experience practicing a Docs as Code framework (e.g., version control,  plain text authoring). 
• Exposure to or experience with version control systems (e.g., Git) and lightweight markup (e.g., Markdown), demonstrating an adaptability towards modern documentation practices.
• Familiarity with project management tools (e.g., Jira, Confluence) and API documentation tools (e.g., Swagger). 
• Excellent written and verbal communication, strong analytical and problem-solving skills, and the ability to work independently and collaboratively.
• Experience leveraging AI to improve documentation efficiency and quality.
• Technical experience with SAP, Docker, and Python scripting.

*Location: Hyderabad, India (can be hybrid, in office as requested).

Principal Embedded SW/FW Engineer (Bringup) - Bengaluru, multiple vacancies 

Job Summary

We have an exciting opportunity to be part of a collaborative, cross-functional development team validating cutting-edge, high-performance AI chips and platforms.

 You will play a key role in supporting new product introductions and post-silicon validation.

Working within the Post-Silicon Validation team, you will be involved with bringing first silicon to life, functionally validating it and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to provide technical guidance to other engineering team members. In this role, you can leverage our experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.

The Team

The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team.

Responsibilities and Duties

• Plan, design, develop and debug silicon validation tests in bare metal C/C++ on FPGA/Emulator prior to first silicon
• Deploy silicon validation tests on first silicon and debugging them
• Develop automated test framework and regression test suites in Python to optimize validation efficiency
• Collaborate closely with engineers from many other disciplines on a variety of topics
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
• Analyse test results, identify and debug failures/defects
• Contribute to shared test and validation infrastructure
• Provide feedback to architects

Candidate Profile 

Essential:

• Understanding of ML applications and their workloads
• A self-starter who can apply independent judgement
• A team player able to lead and support colleagues with difficult concepts
• Strong experience in Bare metal / embedded C/C++

• Excellent problem-solving, analytical & diagnostic skills

• Ability to work across teams and programming languages to find root causes of critical and complex issues

• Experience of the post-silicon validation process applied in digital ASIC environments

• Python, Linux

• Excellent communication skills and the ability to explain difficult concepts to resolve issues 

Desirable

• 10+ years  experience 
• Experience building and leading, multi-site teams
• Driver level experience with one or more of the following is highly desirable:

• PCIe
• Ethernet
• Memory technologies (LPDDR, DDR, HBM, …)
• Other peripherals such as I2C, I3C, SPI, …

• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable.
• Experience of Arm CPUs, System IP and debug tools.
• Experience of AMBA protocols.
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, 

Staff Embedded SW/FW Engineer (Bringup)

Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.  

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Bengaluru which will play a central role in Graphcore's work building the future of AI computing.

Job Summary

We have an exciting opportunity to be part of a collaborative, cross-functional development team developing C code used to validate cutting-edge, high-performance AI chips and platforms. You will play a critical role in supporting new product introductions and post-silicon validation.

Working within the Post-Silicon Bringup team, you will be involved with bringing first silicon to life, developing code primarily in C to configure and exercise systems and sub-systems on new silicon devices, and working closely with many other teams to help it become a fully characterised and working product, reporting project status/progress to program management on a regular basis. You will have the opportunity to, and be responsible for, leading, mentoring, and providing technical guidance to other engineering team members. In this role, you can leverage your experience and industry knowledge to architect and drive implementation of continuous improvements to test infrastructure and processes.

The Team

The Post-Silicon Bringup team sits within the Architecture and Validation team, we are responsible for bringup and validation of new silicon when it returns from manufacture, enabling and supporting the production SW and FW teams to bring up their software and supporting the Silicon Characterisation team. 

Responsibilities and Duties

• Plan, design, develop and debug silicon bringup sequences and test in bare metal C/C++ on FPGA/Emulator prior to first silicon
• Deploy configuration sequences and validation tests on first silicon and debug them
• Develop automated test framework and regression test suites in Python to optimize validation efficiency
• Collaborate closely with engineers from many other disciplines on a variety of topics
• Work with Validation and Production Test engineering peers to implement best practices and continuous improvements to test methodologies
• Analyse test results, identify and debug failures/defects
• Contribute to shared test and validation infrastructure
• Provide feedback to architects

Candidate Profile

Essential:

• Strong experience in Bare metal / embedded C/C++
• Good knowledge of digital ASICs.
• Be highly motivated, a self starter, and a team player 
• Ability to work across teams and programming languages to find root causes of deep and complex issues
• Experience of the post-silicon validation process applied in digital ASIC environments
• Python, Linux
• Excellent communication skills and the ability to collaborate with others to solve problems.
• Excellent problem-solving, analytical & diagnostic skills

Desirable:

• Driver level experience with one or more of the following is highly desirable:

• PCIe
• Ethernet
• Memory technologies (LPDDR, DDR, HBM, …)
• Other peripherals such as I2C, I3C, SPI, …

• Good knowledge of mixed-signal building blocks such as PLLs, high speed PHYs and IC control/communication protocols is highly desirable.
• Experience of Arm CPUs, System IP and debug tools.
• Experience of AMBA protocols.
• Understanding of ML applications and their workloads.
• Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support

Benefits:

In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. 

THE ROLE

As a core member of the Forensics team, you will be the lead detective for Everpure’s most complex technical challenges. Your mission is to perform deep-dive debugging and root-cause analysis on issues that span our large-scale storage platforms, with a specific focus on firmware integration within the broader storage stack. Working at the intersection of engineering, hardware, and platform teams, you will resolve high-stakes escalations and architect the reliability features that protect the data of the world’s largest hyperscale customers.

WHAT YOU’LL DO

• Lead High-Impact Investigations: Drive root-cause analysis for critical escalations by correlating evidence across platform logs, system metrics, and hardware telemetry to pinpoint the source of failure.

• Debug Across the Stack: Analyze complex failures that range from high-level operating system layers down to low-level device firmware and hardware interactions.

• Engineer Triage Tooling: Design and refine automated tools for log analysis and health monitoring to accelerate issue detection and reduce "Time to Resolution" for the entire engineering organization.

• Collaborate in "War Rooms": Participate in cross-functional debug meetings and daily war rooms, providing the technical evidence and reproduction steps needed to drive fixes across firmware and software teams.

• Architect System Guardrails: Contribute to the design of safety checks, observability features, and "safety rails" that proactively prevent known failure modes in our storage solutions.

• Support Global Rollouts: Ensure the reliability of new firmware builds and hardware SKUs by validating their integration at scale before they reach the customer.

WHAT YOU BRING

• Deep Systems Forensics Expertise: Extensive experience in systems, storage, or low-level software engineering (Kernel, Embedded, or Networking) with a "detective" mindset for solving non-deterministic bugs.

• Multi-Layer Debugging Mastery: Proven ability to navigate and resolve issues across OS, platform software, and NVMe/Flash storage firmware layers.

• Technical Tooling Proficiency: Strong skills in Python, Go, or C/C++ used to automate data collection and forensic analysis, alongside mastery of Linux command-line tools.

• Scale & Automation Fluency: Familiarity with large-scale test environments and CI/CD pipelines (e.g., Jenkins) to validate fixes and monitor for regressions.

• Strategic Communication: The ability to translate complex technical forensics into clear, actionable bug reports and investigation summaries for both executive and engineering audiences.

• Preferred: Prior experience in customer-facing escalations or a background in qualifying device firmware for enterprise storage controllers.

• We are primarily an in-office environment and therefore, you will be expected to work from the Bengaluru office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

THE ROLE

As a Firmware Validation Engineer, you will be the guardian of reliability for the Everpure™ DirectFlash™ Module (DFM)—the high-performance heart of our FlashArray and FlashBlade solutions. You will move beyond standard testing to architect validation strategies that exploit the DFM’s unique hardware-software integration, ensuring our NAND technology outperforms traditional off-the-shelf SSDs. Collaborating with Hardware and Systems teams, your mission is to deliver bulletproof firmware that powers the world’s most scalable enterprise storage.

WHAT YOU’LL DO

• Architect Comprehensive Test Suites: Design and implement end-to-end firmware validation modules for the Everpure™ DFM, specifically targeting complex exception and error-path scenarios to ensure 100% design coverage.

• Drive Firmware Stability: Own the development and execution of automated regression suites (nightly and weekly), providing the critical "go/no-go" signals for milestone-specific firmware releases.

• Lead Failure Analysis: Investigate and debug deep-level firmware issues using C/C++ and Python, while building custom failure analysis tools that accelerate root-cause identification across the engineering org.

• Optimize Continuous Integration: Integrate automated unit and regression testing into our CI/CD pipelines, ensuring that every code commit maintains the high-performance standards of the Everpure™ Platform.

• Cross-Functional Collaboration: Partner closely with manufacturing and hardware teams to translate hardware specifications into robust validation software that predicts and prevents failure modes in flash-based devices.

WHAT YOU BRING

• Firmware & Storage Mastery: Extensive experience in hardware/system validation with deep technical knowledge of NAND Flash architecture and SSD firmware design within an enterprise storage environment.

• Software Engineering Prowess: Advanced proficiency in Python (Object-Oriented Programming) for test automation, complemented by the ability to read and debug C/C++ firmware code.

• Advanced Debugging & Hardware Fluency: A proven track record of diagnosing complex failure modes in flash-based devices, utilizing a strong understanding of storage interfaces and embedded systems.

• Validation Strategy Ownership: The independent ability to devise, automate, and refine qualification methods that bridge the gap between low-level hardware design and high-level system software.

• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

THE ROLE

As the Engineering Manager for the Everpure™ DirectFlash™ Module (DFM) team, you will lead the vision for our proprietary enterprise storage hardware. You won’t just manage a team; you will pioneer the integration of next-generation NAND technologies and drive the media management algorithms that give the Everpure™ Platform its competitive edge in performance and cost. Collaborating across Purity software, hardware, and qualification teams, you will steer the development of the hardware-software interfaces that define the future of flash storage.

WHAT YOU’LL DO

• Strategic Project Leadership: Partner with global program teams to architect firmware project schedules, managing critical dependencies and mitigating risks to ensure the seamless delivery of Everpure™ storage solutions to market.

• Agile Excellence: Orchestrate team sprints and backlog prioritization, fostering a high-velocity development environment that balances rapid feature innovation with rigorous product stability.

• Engineering Process Optimization: Drive continuous improvements in the firmware development lifecycle, implementing advanced CI/CD practices and automated workflows to enhance both engineering productivity and product quality.

• Talent Orchestration: Lead a world-class team of engineers through active performance management, structured 1-on-1 mentorship, and professional development initiatives that align individual growth with Everpure™'s mission.

• Cross-Functional Integration: Serve as the primary technical liaison between firmware, hardware, and system software teams, ensuring that our proprietary media management policies are perfectly tuned for the latest NAND generations.

WHAT YOU BRING

• Embedded & Storage Mastery: Deep technical expertise in the SSD or embedded storage domain, with a sophisticated understanding of the entire data path, NAND media management, and hardware-software interfaces.

• Proven Engineering Leadership: Extensive experience leading technical teams or complex projects, specifically focused on embedded systems and the successful delivery of hardware-integrated software to market.

• Full-Stack Technical Fluency: Proficiency in C/C++ for firmware development and Python for automation, combined with the analytical ability to debug complex issues across the HW/FW boundary.

• Operational Excellence: A strong track record of managing projects through the entire product development cycle (from concept to GA) using Agile methodologies and Continuous Integration.

• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Bangalore office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

• Build, manage, and mentor a high‑performing team of machine learning engineers; foster collaboration, support career growth, and invest in continuous skills development.
• Own the delivery and impact of ML initiatives, working closely with cross‑functional partners to ensure measurable business outcomes.
• Lead the design, development, and optimization of ML‑based systems, including techniques such as deep learning and reinforcement learning.
• Drive a culture of scientific and engineering rigor balanced with real‑world pragmatism, with a strong focus on experimentation, evaluation, and quantifying impact on key engagement and business metrics.
• Partner with data engineering, product management, and marketing teams to take ML solutions from conception through experimentation to reliable, timely production deployment.
• Establish India as a strategic ML hub for EarnIn by leading hiring efforts, onboarding, and close partnership with HR and TA on culture building, team health, and local engagement initiatives.

• MS or Ph.D. in Computer Science, Statistics, or a closely related technical field.
• 7+ years of industry experience, including 3+ years of people management experience.
• Strong depth across core machine learning algorithms and applied ML techniques.
• Proven experience building, deploying, and operating production ML systems at scale.
• Advanced proficiency in Python and SQL, with a strong software engineering foundation.
• Excellent written and verbal communication skills, with the ability to influence and collaborate across technical and non‑technical stakeholders.

#LI-Hybrid 

Job Summary

We are seeking Senior Embedded Software Engineer with extensive experience in firmware and embedded software development. The ideal candidate has a strong background in low-level programming, hardware bring-up, and real-time embedded systems. This role focuses on developing software for gateway systems, requiring high reliability, robustness, and fault tolerance.

Key Responsibilities:

• Develop and maintain firmware and embedded software for satellite systems.
• Perform hardware bring-up, including board-level debugging, bootloader development, and peripheral integration.
• Collaborate with hardware engineers to validate and optimize system functionality.
• Ensure the software is highly reliable, fault-tolerant, and resilient to extreme environmental conditions, meeting the rigorous demands of satellite applications.
• Debug complex system issues involving hardware-software interaction.
• Optimize software performance for real-time and resource-constrained environments.

Required Skills & Qualifications:

• 10+ years of experience in embedded software and firmware development.
• Strong expertise in C and C++ programming. 
• Proven experience with Linux OS 
• Hands-on experience with hardware bring-up, including debugging bootloaders, memory interfaces, and peripheral drivers.
• Experience with real-time systems and low-level embedded programming. 
• Strong knowledge of networking and binary protocols.

Preferred Qualifications:

• Familiarity with Xilinx hardware platforms.
• Experience with Petalinux and Yocto build systems.
• Understanding of OpenMP and parallel computing optimizations.
• Experience in aerospace or satellite system development.
• Linux device drivers, Low level drivers, QNX/RTOS drive programming, ARM assembly, Embedded C/C++

Software Simulation Engineer 

AST SpaceMobile and our global partners are building the first and only space-based cellular broadband network to be accessible by standard smartphones. Called SpaceMobile, this ultra-powerful network is being designed to provide connectivity at 4G/5G speeds everywhere on the planet – on land, at sea and in flight.

Summary:

AST SpaceMobile is looking to hire a Software Engineer for a software-in-the-loop (SIL) simulation group. The primary product, referred to as the dynamic spacecraft simulator (DSS), provides a testbed and integration environment for a wide variety of subsystems on our satellites, including navigation, payload, power, FDIR, and TT&C. The candidate will work as part of a team responsible for developing and ensuring the fidelity of a variety of C++-based software models, integrating software from other teams into the environment, driving integration testing between various subsystems, and further developing the overall simulation environment. The ideal candidate will be capable of both digging into the details of interface control documents (ICD) and making informed architectural decisions about large, distributed software systems.

Duties & Responsibilities:

• Contribute to the ongoing development of and maintenance of several generations of software-based spacecraft simulators
• Implement and add functionality to software models of hardware components
• Maintain and update simulation code as requirements and/or technologies change
• Collaborate with other engineering disciplines in planning, design, and development of simulation interfaces to ensure software and hardware performance and compatibility 
• Drive integration testing between different subsystems owned by diverse stakeholders—ability to debug complicated systems, and find working compromises between groups with divergent priorities

Minimum Qualifications: 

• At least 8-9 years of professional experience working with C++
• Proficient with modern C++, ideally C++17, and the C++ standard library
• Proficient at reading and modeling a system based on an ICD
• Familiar with CMake
• Proficient with Git
• Comfort with multi-process computing and distributed computing
• Comfort with GNU/Linux and common unix tools
• Some level of familiarity with concepts of embedded programming such as:
  • Serial interfaces
  • Registers
  • Timers
  • Cross-Compiling
• Ability to work in a remote, distributed team

Preferred Qualifications:   

1. Comfort with concepts of Embedded Software
2. Any experience with spacecraft or other real-time systems
3. Proficient with modeling physical components (e.g. battery charge, discharge, thermals)
4. Familiar with AWS
5. Proficient in Python
6. Proficient with bash/shell scripting

AST SpaceMobile is an Equal Opportunity, at will Employer; employment is governed based on merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.

Role Overview
We are seeking a Staff Frontend Engineer to be the technical anchor for our frontend capability. This role goes beyond feature delivery — you will define the frontend architecture, establish the component design system, own the Next.js application structure, drive performance standards, and mentor Senior and mid-level frontend engineers. You will build the most complex, data-intensive UI surfaces: real-time attribution dashboards, AI powered campaign builders, and platform-embedded intelligence widgets — all in React + Next.js stack integrated with Elasticsearch-powered search and streaming AI responses.  

Key Responsibilities
• Own and evolve the frontend architecture: Next.js App Router structure, component boundaries, state management strategy (Redux), and data-fetching patterns — applying hexagonal UI principles where the component layer is decoupled from specific backend service contracts.

• Design and build the most technically complex UI surfaces: real-time attribution dashboards (streaming data), AI-powered campaign builder (LLM response streaming), Elasticsearch-backed customer search with faceted filtering, and platform-embedded opportunity cards.

• Define the component design system: atomic component library, theming contracts, accessibility standards (WCAG 2.1), and Storybook-based documentation.

• Establish frontend performance standards: Core Web Vitals targets, bundle size budgets, SSR/SSG strategy with Next.js, lazy loading, and virtualization for large data tables.

• Lead Next.js architecture decisions: App Router vs. Pages Router tradeoffs, RSC (React Server Components) applicability, streaming SSR for AI-generated content, and API route design.

• Integrate AI-native frontend patterns: streaming LLM responses into UI components, real-time score updates from Redis/Aerospike via SSE, and Elasticsearch typeahead search. 

• Drive code quality through design reviews, code reviews, pair programming, and frontend-specific engineering standards.

• Mentor Senior and mid-level frontend engineers — setting the bar for component design, test coverage, and performance discipline.

• Collaborate closely with backend Staff Engineers to define API contracts and with designers to implement pixel-perfect, accessible UIs

Skills & Qualifications

• 8+ years of frontend engineering experience with deep React and Next.js expertise in production systems.

• Mastery of Next.js 14+ App Router, React Server Components, streaming SSR, and static generation — knowing when to apply each pattern.

• Strong TypeScript expertise: type safety across component props, API contracts, Redux store shape, and server/client boundaries.

• Deep Redux expertise: slice design, selector optimization, middleware patterns, and RTK Query for data fetching.

• Proven experience building data-intensive dashboards with real-time data (WebSocket, SSE, or polling) and chart libraries (Recharts, D3.js).

• Experience integrating Elasticsearch-powered search UIs: typeahead, faceted search, and result ranking display.

• Strong frontend performance engineering: bundle analysis, code splitting, memoization, virtualization, and Core Web Vitals optimization.

• Experience establishing and maintaining component design systems with accessibility standards.

• Experience mentoring engineers and raising the technical bar across a frontend team. 

Good to Have

• Experience streaming LLM/AI-generated content into React UI components (token streaming, partial rendering patterns).

• Familiarity with platform-embedded micro-frontend patterns (module federation or iframe-based embedding).

• Background in automotive retail, eCommerce analytics, or SaaS BI/reporting platforms.

• Experience with Storybook for component documentation and visual regression testing. 

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

#P25153_3431422
#Linkedin_Hybrid

Okta seeks a skilled NetSuite Developer to optimize, customize, and maintain our NetSuite ERP system. As part of our Business Technology team, you will be responsible for developing scripts, workflows, integrations, and system enhancements to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We would love to hear from you!

Job Duties and Responsibilities

• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases
• Develop and maintain robust off-platform integration scripts, utilizing Python & LangChain and to manage data transfer and interaction between NetSuite (via SuiteTalk or RESTlets) and external AI/ML platforms, particularly for data preprocessing before RAG operations.1..
• Closely work with the BT team to design, develop, test, implement & support system solutions primarily in Finance Technology.
• Provide technical consultant, best practices, and problem resolution.
• Support & resolve production issues
• Develop and maintain integrations with third-party applications via REST/SOAP APIs

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions.
• Strong understanding of NetSuite ERP modules (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities.
• Deep practical experience in Prompt Engineering and iterative refinement of prompts within NetSuite Prompt Studio to maximize the relevance and accuracy of NetSuite AI outputs like Text Enhance.1
• Familiarity with containerization and orchestration tools (e.g., Docker) for deploying Python-based external services that augment NetSuite's capabilities
• Experience with ERP like Oracle Fusion Cloud Applications or SAP H4/HANA is a plus.
• Nice to have some experience with foundational AI services, including the desire to utilize a unified platform like AWS Bedrock for Generative AI development and deployment

Education and Certifications

• A Bachelor’s degree in Computer Science or Information Systems or equivalent years of industry experience
• NetSuite Administration or ERP consultant certification is an advantage

#P22115_3060755
#LI_Hybrid_Bengaluru

The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?” 

Our User Research team is a critical partner in this mission, responsible for driving research that uncovers deep insights and shapes our product and company strategy. As a Staff User Researcher, you will work with a globally distributed team to apply your craft and expertise across a range of products and services. You will tackle complex research questions, delivering insights that ensure we are solving the right problems for our customers.

The Finer Print 

As a Staff UX Researcher in India, you will lead and establish user research efforts locally, embedding UXR practices within our growing India-based cross-functional teams and taking ownership of high-impact research initiatives for a key Okta product area. This is a unique opportunity to promote and cultivate a user-centered culture, guiding local product, design, and engineering partners who are new to direct collaboration with UX research. You will work closely with these local teams daily, while also collaborating effectively with your global UXR colleagues and stakeholders. Your research will directly inform critical decisions, contributing to both the product's long-term vision and near-term development. You will be instrumental in establishing research operations in India, ensuring that foundational and evaluative insights are effectively leveraged to drive exceptional user experiences.

In this role, you have the opportunity to:

• Champion user-centered best practices and build strong, trusted relationships with product, design, and engineering leaders within our growing Bangalore office
• Drive collaborative research initiatives with cross-functional teams and guide them in leveraging insights to inform decisions and foster a culture of curiosity
• Communicate complex insights clearly and persuasively to diverse audiences across all levels and time zones, ensuring seamless alignment within our global team
• Utilize LLMs (e.g., ChatGPT, Claude) to accelerate end-to-end research workflows, from literature reviews and transcript analysis to report drafting.
• Synthesize insights at scale by leveraging AI-augmented repositories and tools across multiple concurrent projects, without sacrificing research rigor.
• Establish and refine UX research processes, operational frameworks, and supporting tools tailored to the needs of the Bangalore office, aligning with our global UX Research standards
• Build and manage key research operations, including leading APAC participant recruitment efforts and collaborating with our global UX Research Operations team to optimize our Dovetail research repository for local stakeholders

• Lead end-to-end research initiatives, expertly applying a flexible range of methodologies (generative and evaluative) to illuminate customer needs and deliver high-impact insights that drive product growth
• Share your expertise and insights with the global UX Research team, and play a pivotal role in building UX Research capacity within the Bangalore office as the team grows
• Access global learning resources and collaborate with experienced researchers worldwide to continuously enhance your skills

Who We Are Looking For

• Demonstrated ability to effectively introduce and integrate UX Research into teams with limited prior exposure, clearly articulating its value and driving buy-in
• Experience thriving in a remote, globally distributed team environment, with a proven ability to manage asynchronous communication, maintain alignment across different time zones, and build strong rapport and influence with remote stakeholders across cultures
• You possess a proven ability to critically evaluate AI-generated outputs for bias, hallucinations, and gaps; you know when to trust, refine, or override AI and can articulate that judgment.
• A proactive and highly self-driven approach, with a proven ability to independently identify research opportunities, define scope, and successfully project manage complex initiatives end-to-end, consistently delivering high-quality insights on time and within scope
• Resourcefulness in navigating ambiguity and establishing new processes and tooling where needed
• Proven experience as an embedded UX Researcher with deep expertise in applying a wide range of methodologies (e.g., usability studies, contextual inquiry, surveys) to identify and elevate user needs, driving valuable product outcomes
• Able to translate business problems into human-centered research questions, applying your technical understanding to inform company goals
• Exceptional proficiency in communicating complex research findings and insights, adeptly tailoring presentations and guiding collaborative sessions with diverse cross-functional partners and senior leadership to drive alignment and informed decisions
• Experience with products made for developers, administrators, or other technical audiences
• Strong decision-making and problem-solving capabilities while working with constraints
• Empathy for users and a passion for understanding technical experiences
• Experience working on security products is a plus
• A proactive and curious mindset with a dedication to continuous professional development, and a proven ability to contribute positively to the team's research culture and skill set

Qualifications:

• 8+ years of experience in a User Research or related role, with a strong digital portfolio demonstrating end-to-end research on shipped B2B or enterprise SaaS products. (A portfolio is required for consideration).
• Practical experience using LLMs to accelerate research workflows, with specific examples of measurable impact on project timelines or scale.
• Expertise in a wide range of qualitative and quantitative research methods.
• A Master’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, or a related field is preferred.

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About Okta

At Okta, our mission is to enable any organization to use any technology, making the world a more secure and connected place. We are the leading independent provider of identity for the enterprise. We work with an incredible array of customers, from the largest enterprises to the most innovative startups, to help them securely connect their people to technology. As we enter a new phase of growth, our AI and data capabilities will be a critical pillar of our success, powering secure and scalable products that serve both our customers and employees.

The Opportunity

Okta is seeking a Principal Data Engineer to be the technical visionary for our internal data platform that supports our internal AI use cases with AI ready data. Reporting to the Sr Manager of Enterprise Data Platform, this role is responsible for turning the data product vision into a secure, scalable, and elegant technical reality. You will own the "how"—the technical strategy, implementation, and scalability that brings our AI and data product roadmap to life.

This role requires a technical leader who can balance today’s execution with building a durable foundation for the future. You will own the technical standards for engineering excellence, security, and governance, ensuring our core data platform is trusted and ready to power the next generation of AI-powered products and decision-making at Okta.

What You’ll Do

• Own the technical strategy and implementation for the company's AI data platform, translating product requirements into a concrete technical vision centered on Snowflake, AWS, dbt.
• Design and implement a robust security and governance framework as a core pillar of the platform, ensuring our high-compliance, high-security standards are met.
• Build automated solutions for data classification, access control, and vulnerability management (Nessus/Qualys), ensuring data is secure and trusted for AI consumption.
• Implement and manage the strategy for infrastructure as code (Terraform) and CI/CD (GitHub/GitLab) to ensure secure, reproducible, and auditable deployments.
• Set the bar for engineering excellence, driving best practices in code quality, system design, and operational readiness.
• Serve as an engineering partner to the Principal Product Manager, providing technical feasibility, scoping, and architectural guidance.
• Communicate technical vision, strategy, and trade-offs clearly to senior leadership and cross-functional teams.
• Collaborate with the AI, security, and analytics teams to ensure the data platform meets the complex needs of the entire business.

What You Bring

• Experience: 10+ years of data engineering experience, with at least 5 years focused on architecting data platforms for data products, analytics, and/or AI-driven products. Experience with high-compliance/high-security regulated environments is a plus.
• Technical Authority: Deep and recognized mastery of data platforms and architecture, including cloud applications like Snowflake, Databricks, and AWS. Expert-level understanding of data pipeline and orchestration tools like dbt, Airflow, Fivetran, and Terraform.
• Security & Governance DNA: Deep expertise in designing and implementing technical frameworks for data governance, access control, and security within a modern data stack.
• Cross-Functional Partnership: A proven track record of partnering successfully with product management and business leaders to translate vision into high-impact technical solutions.
• Balance of Today vs. Tomorrow: Ability to deliver immediate, high-quality engineering solutions while building a scalable and maintainable foundation for future innovation.

What Success Looks Like

• A secure, scalable, and elegantly designed AI data platform that serves as the trusted data foundation for the company.
• Robust, automated data governance and security frameworks embedded into the platform's core architecture.
• A well-architected and cost-optimized tech stack that accelerates development and reduces operational friction.
• Elevated technical capabilities and engineering excellence across the team, driven by your mentorship and leadership.

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The Overview 

At Okta, we're building a world where anyone can safely use any technology, and, within Okta Platform R&D, we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users, but to ask, “what more can we make possible?”

As a Principal Product Designer for Okta, you’ll work with a globally distributed design team to build the forward-looking vision for Okta’s entire suite of services. You will shape a culture that deeply appreciates our customers and how to best serve them. Your work will go deep at times, but you’ll also be constantly seeking opportunities to connect journeys, experiences and teams horizontally across the Okta Platform suite. You notice the details and deeply understand how the product works. Ensuring that using our products together creates an experience that is “greater than the sum of its parts” will be critical to Okta’s success in the coming years.

The Finer Print 

This role will be focused on the UX strategy for several products and pillars within the Okta Platform. Designers will be embedded within product pillars and working alongside engineering and product teams. You’ll bring this strategy to life through explorations, prototypes, and other design artifacts that foster clarity across groups and teams. In addition, you’ll be an effective collaborator and communicator – elevating the voice of design across functions and pillars. Finally, you’ll play a key part in elevating the design practice at Okta, both in terms of craft and team culture.

In this role, you have the opportunity to:

• Lead a holistic, human-centered approach to design, especially when designing for AI-powered features and intelligent systems.
• Guide and oversee the UX strategy alongside cross-functional partners, collaborating to take products from concept to launch and define the long-term strategy for your product area.
• Design and facilitate co-creation workshops with Product Management, Engineering, and Design to define opportunities within our products to solve valuable customer problems.
• Explore and design AI-powered solutions to simplify complex user workflows, enhance security through intelligent detection, and provide personalized user assistance.
• Leverage generative AI and other AI-powered tools to accelerate the design process, from ideation and content generation to prototyping and user flow analysis.
• Craft user-centered artifacts and end-to-end journeys to align teams contributing to Okta’s Platform R&D around the broader user experience.
• Collaborate with other Okta designers to ensure consistency across interface experiences ensuring trust and transparency in all AI-driven interactions.
• Inspire teams to think bigger and act smaller, instilling an iterative process and fail-forward mentality to design simple and delightful user interfaces for new and existing Okta products.
• Advocate, mentor, and educate on the benefits of design thinking to product teams and new designers alike; partnering with UX team members to uphold our principles and standards.
• Mentor fellow designers and contribute toward team-level and design practice and process improvements, including the ethical application of AI in design.
• Work with Design Leadership to define and drive the frameworks, contracts, and standards for others to be able to then build on top of and add value to, ensuring the quality of UX delivery.
• Find creative ways to continuously learn from customers and users; collaborating with user researchers to research and synthesize user needs to help conceive, define, test, and evolve solutions for our users across a range of mediums and experiences; Advocate for users and deliver user and customer outcomes in a dynamic work environment.
• Help product designers become data aware to illustrate a clear understanding of how their designs impact customers,  including the ones around adoption and effectiveness of AI-driven features.
• Present work, concepts, and new ideas to cross-functional team members, adjacent teams, and senior leadership; working to distill complex technical problems into clear, conceptual models and simple, elegant solutions.
• Keep abreast of competitor products and industry trends; with a keen eye on advancements in AI trends and their application to identity and security domain.

Who We Are Looking For

• You have experience leading cross-discipline teams and exemplify leadership.
• You are passionate about solving complex problems, crafting and sharing product and design UX principles to help teams deliver cohesive user experiences.
• You are a thought leader, undertaking explorations into new technologies and territories, including AI, machine learning, and their applications in identity and security.
• You bring an AI first mindset, demonstrated by practical experience using various AI tools in your daily design workflow to enhance creativity and efficiency. You constantly seek opportunities to apply intelligent automation and data-driven insights while championing design for trust, explainability, and ethical considerations.
• You are great at collaborating, sharing work early and often, and seeking constructive feedback from peers and stakeholders.
• You have the heart of a teacher and can help mentor and train people. You build and share empathy with people to deeply understand them and their needs.
• You see design as a partner in shaping strategic and operational product and UX outcomes; comfortable owning all stages of design for multiple teams within a given product area.
• You bring a systems-thinking lens to the conversation.
• You are passionate about supporting teams with a wide variety of experience, backgrounds, and interests.
• Your portfolio will show that you've worked on complex and/or technical projects across all aspects of the design process (conceptual design, interaction design, information architecture, and visual design).
• You are adept at working in a diverse, globally distributed team and have experience with remote collaboration tools.

Qualifications:

• 12+ years of product design experience on complex B2B enterprise products, with demonstrated ownership of the end-to-end design process—from discovery to delivery—across multiple product areas.
• Demonstrated proficiency in leveraging AI-powered design tools and plugins within your workflow (e.g., for generating design assets, data, or exploring layout variations).
• Possesses at least a basic understanding of HTML/CSS/JavaScript.
• Proven experience integrating AI tools into your day-to-day design activities to solve practical design challenges.
• Can provide a digital portfolio that showcases solid skills across a variety of projects, including work that has been seen and used successfully in actual products. (Portfolio link required when applying.)

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The Role

The Senior Solutions Engineer at Rhombus Power is an experienced technical leader responsible for driving the architecture and deployment of our most complex AI-powered solutions. You will leverage significant previous solutions engineering experience to solve global business and national security challenges. This role requires a seasoned software generalist capable of operating independently to deliver production-grade code across the full stack (DevOps, frontend, and backend) while serving as a trusted technical advisor to senior customer stakeholders. You will bring effective, real-world solutions to life for our biggest clients.

Responsibilities

• Lead the technical architecture, design, and implementation phases of large-scale AI solution deployments with strategic national security partners.
• Act as the subject matter expert on all Rhombus Power products and technologies, providing deep technical consultation to influence partner strategy and optimize solution effectiveness.
• Be a highly autonomous software generalist, quickly developing, iterating, and deploying high-quality, full-stack code (DevOps, backend systems, and sophisticated frontend UIs) to meet evolving mission needs.
• Mentor and provide technical guidance to junior Solutions Engineers, fostering best practices for coding, integration, and customer engagement.
• Work closely with Rhombus Power Product Managers and Engineering teams to synthesize complex customer requirements and directly influence the development of new products and platform features.
• Lead complex troubleshooting efforts and technical deep dives to ensure system reliability and performance in mission-critical environments.
• Travel to customer sites for deployment leadership, high-level technical consultation, and operational oversight.

Qualifications

• A minimum of 7 years of total professional work experience in software engineering, technical consulting, or a related field.
• Significant previous experience (3+ years preferred) in a Solutions Engineering, Forward Deployed Engineering, or similar customer-embedded role, focusing on complex enterprise software.
• Expert-level command as a software generalist, capable of architecting and implementing solutions across the technology stack (DevOps, backend, and frontend).
• Deep proficiency in modern programming languages, cloud technologies (e.g., AWS, Azure, GCP), data pipelines, and security best practices.
• Experience with Linux/Unix systems and system administration
• Proven ability to lead technical discussions, manage complex stakeholder relationships, and drive major projects to successful completion in fast-paced environments.
• Exceptional problem-solving skills and the capacity to translate high-level mission objectives into concrete, technical solutions.
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent experience.

The Role

As a Solutions Engineer at Rhombus Power, you are a hands-on software generalist embedded directly with our national security partners. Much like the pioneering Forward Deployed roles in our industry, you will be the technical expert at the intersection of world-changing problems and impactful AI technology. You will rapidly understand our customers' toughest operational challenges and architect, build, and deploy custom solutions that leverage the Rhombus Power platform. This role is a mix of development and customer support, requiring you to be comfortable writing code (DevOps, frontend, and backend) while acting as the primary technical consultant.

Responsibilities

• Work side-by-side with intelligence partners to deeply understand their missions, data workflows, and requirements for predictive insights.
• Design, develop, and deploy tailored software solutions and applications utilizing the Rhombus Power AI platform.
• Be a true software generalist, writing, testing, and maintaining production-grade code across the full stack—including cloud/DevOps configuration, backend data services, and interactive frontend user interfaces.
• Provide technical consultation to partners, guiding them on the best use of our products to achieve their strategic business and mission goals.
• Serve as the technical liaison, ensuring seamless communication between customer teams and Rhombus Power's core product engineering teams to influence product direction.
• Troubleshoot complex issues in live operational environments, providing expert technical support and guidance to maintain mission continuity.
• Travel to customer sites for deployment, integration, and operational support.

Qualifications

• Professional-level proficiency in English (reading, writing, and verbal communication) required.
• 2–3 years of professional experience in a relevant technical role (e.g., Software Engineering, Technical Consulting, or Data Engineering).
• Demonstrated experience as a software generalist, capable of contributing across the technology stack (DevOps, frontend, and backend).
• Proven experience in a customer-facing capacity, including requirement gathering, solution presentations, or technical support.
• Proficiency in at least one modern programming language (e.g., Python, JavaScript, Go).
• Experience with Linux/Unix systems and system administration a plus
• Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Location

New Delhi, India

Job Description

We are seeking a skilled DevOps Engineer to support our team by integrating security into the development and operational pipeline. In this role, you will design and automate CI/CD pipelines, manage cloud infrastructure through Infrastructure as Code (IaC), and implement security controls to protect critical systems. You will work closely with development teams to enhance automation and ensure compliance with security policies. The ideal candidate will have experience in Linux system management, API security, and cloud security practices, along with the ability to collaborate in Agile environments and respond to security incidents proactively.

Responsibilities

• Implement Infrastructure as Code to manage cloud resources efficiently, ensuring scalability and flexibility for all workloads.
• Integrate security controls into the development lifecycle (DevOps principles) to ensure systems are secure from the outset.
• Implement containerization (e.g., Docker, Kubernetes) for deployment, ensuring security practices are embedded into container lifecycle management.
• Implement DevOps practices in alignment with Scaled Agile Framework (SAFe).
• Integrate security measures throughout the software development pipeline.
• Collaborate with Agile teams and participate in SAFe ceremonies.
• Develop and maintain security automation tools and processes.
• Conduct threat modeling and implement secure coding practices.
• Actively participate in incident response and compliance activities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Security, or a related field.
• Expertise in containerization technologies such as Docker and Kubernetes.
• Solid understanding of cloud platforms like AWS, Azure, or Google Cloud.
• Experience with source control tools like Git and GitLab.
• Strong proficiency in programming languages like Python, Java, or Bash scripting.
• Experience in integrating security into CI/CD pipelines and automating security testing.
• Knowledge of vulnerability management, static code analysis, and security testing tools.
• Strong collaboration and communication skills, with the ability to work in Agile environments.

Principal Duties/Responsibilities:

To Live and Lead Safety

· Takes responsibility for employee safety and wellness by deploying the ATS safety program and ensuring effective completion of safety training, observations, and incident investigations.

· Implements and actively supports all Beyond Zero initiatives

· Enables the growth of a customer safety culture by a fostering a safety partnership and sharing best practices

To Inspire and Provide Clarity on Vision and Strategy

· Motivates employees by communicating a clear vision that enables all employees to understand the rationale for, and the benefit of, both site-level and company-wide objectives

· Acts as an effective change agent, leading the implementation of strategic initiatives through positive team communications, appropriate action planning, and successful implementation activities

· Understands and appropriately articulates both ATS and customer strategies, providing the team with line of sight between team responsibilities and strategic outcomes

To Own Our ATS Culture

· Builds positive relationships with ATS employees, customers, and peers through open communication and role-modeling the ATS leadership core competencies of honesty and respect

· Sets a positive, influential standard for others and creates a constructive climate for their team

· Influences with transparency and use participative methods to ensure that decisions are understood and accepted

· Establishes a positive work environment through managing and personalizing onboarding; engaging in ongoing one-on-one communications; and recognizing individual contributions and achievements on a timely basis

· Adheres to policies and procedures and ensures that staff understands the rationale behind policies and processes

To Support Our Employees’ Learning and Growth

· Leads and builds team capabilities by working with individuals on performance improvement, career planning, training, and skills development.

· Develops, communicates, and executes a Skills Matrix and Technician Training Plan

· Builds and maintains a succession plan for key positions (i.e., Supervisors, Supply Chain, P/S, RE)

To Ensure and Drive our Business Results

· Leads and ensures the Operating System is understood, reinforced, and embedded

· Develops and executes a site-specific maintenance plan per ATS standards

· Manages financial performance of the site (revenue, expenses, and profit) to achieve set objectives

· Develops and maintains effective relationships with all ATS business units, fully utilizing their services and ensuring cross-functional alignment

· Collaborates with and builds customer relationships to ensure priority alignment and proactively anticipates customer needs as the primary on site contact

· Ensures alignment of customer expectations and ATS site goals through management of site-specific contracts

· Communicates with the customer through daily, weekly, and monthly meetings and conducts a regular review of the performance metrics with the customer

· Drives a continuous improvement methodology and promotes cost savings

· Analyzes and reports on key performance indicators, completing root cause analyses and developing and executing action items while removing barriers and addressing issues

· Collaborates with sales and operations leadership to increase the scope of services

Knowledge, Skills, Abilities (KSAs), & Competencies:

Essential KSAs:

· Bachelor’s degree in technical, business, or a related field preferred or seven years of operations / maintenance experience

· Three years of supervisory experience with a strong focus on development of employees

· Resilient and flexible, able to multitask and prioritize with an innate ability to understand and accept change and motivate others around change

· Highly tuned emotional intelligence with demonstrated ability to build relationships and lead teams with honesty and integrity to achieve goals

· Solid understanding of manufacturing / assembly work environment

· Business acumen

· Positive influencer with appropriate levels of organization.

· Strong customer focus with the ability to build positive business relationships and show a sense of urgency

Desirable KSAs

· Manufacturing maintenance experience preferred with related certifications and training

· Good understanding of, and/or experience with, proactive/reliability maintenance processes, i.e., Planning/Scheduling, P/M, PdM, and root cause analysis, and continuous improvement methodologies

· Good computer skills, including Microsoft applications and web-based applications such as Power BI, GEAC, Concur, Workday and related software

· Time management skills

· Ability to relocate to specified locations

· Excellent communications skills (verbal, written, and presentation)

· Agile, curious learner and authentic, credible teacher

· Financial acumen and knowledge of forecasting and managing budgets

Leadership Core Competencies:

Business and Company Acumen

Lead with honesty and integrity

Build bold and relevant strategies

Welcome and motivate change

Recognize the right outcomes and how they were achieved

Role model safety and wellness

Emotional Intelligence

Provide psychological safety

Be self-aware

Build relationships

Ask for and act on feedback

Respect diverse background and viewpoints

Lead in the Present; Eye to the Future

Commit to accountability

Coach people to their potential

Own talent development and placement

Turn problems into opportunities

Be resilient and flexible

Communicate, Communicate, Communicate

Practice transparency

Build relationships through respect

Be a curious learner and credible teacher

Influence in a proactive, positive way

Ensure cross functional awareness/decisions

ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here.

Job responsibilities

Job qualifications

Other things to know

About Thoughtworks

About Blenheim Chalcot 

Blenheim Chalcot India is part of Blenheim Chalcot, a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. 

About Liberis

Liberis was founded and is backed by Blenheim Chalcot.

Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning. 

The Team

We are the Decision Analytics team sit with a goal to drive intelligent decision-making by applying advanced statistical analytics to a wealth of data. At the heart of the Risk function, our focus is to deliver high-quality instant decisions for our customers around the world.

Risk team is a globally team with offices in London, Nottingham and Atlanta US, covers Decision Analytics, Portfolio Management, Underwriting and Collections. We're on a mission to grow Liberis into the world's leading embedded business finance provider, and we're looking for a Decision Analytics Manager to help us make that happen!

The Role

Are you passionate about tackling complex challenges? Do you crave autonomy and the chance to innovate? If you're eager to make a real impact in finance that supports small businesses rather than just chasing profit, this is the perfect role for you.

You will own and evolve the automated credit decision policy across partners and products. You will be responsible for driving high auto-decision rates while maintaining competitive approval rates and robust risk performance. The role combines hands-on analytics with strategic ownership of acquisition decision strategies, monitoring frameworks, and model governance. This position is primarily a hands-on analytical role (70% individual contributor) while also mentoring and supporting junior team members (30% management). 

If you’ve got experience in an analytical role, using statistical tools to shape strategy, and the ability to turn data into clear, actionable insights, we want to hear from you.

What you’ll be doing

• Lead the development and optimisation of global decisioning strategies
• Own the automated decision policy framework and continuously enhance strategies to improve auto-decision rates and maintain competitive offerings.
• Work closely with the AI-ML team, playing a governance role in new model development, model approval and ongoing model monitoring
• Contribute to the development and enhancement of credit risk models
• Develop, own and enhance acquisition monitoring and performance reporting to track decision quality and risk performance
• Explore new and current data sources to optimise decisioning policy
• Mentor and support junior members within the team
• Collaborate with key risk stakeholders to maintain an acceptable risk level in a fast-evolving environment
• Represent Risk to the wider business, collaborating with Product and Commercial teams to unlock business value

What we think you’ll need

• 5+ years of experience in a relevant analytical, credit risk or decision science role
• 2+ years of experience working as a Decision Scientist or Data Scientist.
• A strong analytical mindset with a passion for turning complex data into insights
• The ability to communicate your findings clearly and effectively

Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.

About Liberis

Liberis was founded and is backed by Blenheim Chalcot.

Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning. 

The Team

We are the Risk team responsible for managing the credit risk of Liberis’ portfolios, which include designing effective new strategies, managing the credit quality of our products across geographies, and providing specialist credit risk advice to the business.

The Risk team is based in London and covers Risk analytics, Decision Science, Underwriting and Collections. Our mission is to grow Liberis profitably to become the leading embedded business finance provider and we are now looking for a Analyst/Senior Credit Risk Analyst to join us on this journey.

The Role

You are someone that is excited by the prospect of a challenge, appreciate autonomy and the space to generate your own ideas and are passionate about finance that serves to support small businesses, not just turn a profit.

Reporting to the Senior Manager in the Risk Management team you will develop best in class credit risk strategies that reward our members and deliver value to Liberis. You will have the opportunity to work on a broad range of projects and workstreams that provide credit risk insights while ensuring we stay within the organisation’s risk appetite.

You should have experience in a similar analytical role where you have used statistical and analytical tools to drive innovative strategy changes. You should be able to derive insights from data and be able to present results in a concise way to relevant stakeholders.

What you’ll be doing

1. Risk Data Architecture & Structuring

• Design and maintain scalable credit risk data marts and portfolio datasets.
• Define and document data definitions, schemas, and maintain metric logic for key risk indicators (e.g. delinquency, roll rates, vintage curves, loss metrics).
• Partner with Data Engineering to optimise warehouse structures (Snowflake/BigQuery/Redshift or equivalent) and to improve the accuracy, consistency, and automation of risk reporting processes.
• Ensure consistency and governance across risk, finance, and commercial datasets.
• Validate and reconcile underlying data sources, ensuring data quality standards are upheld.
• Use data to ensure the execution of our strategy is in line with expectations with the right governance, control, and monitoring.

2. Building scalable Reporting & Automation layer

• Build reusable reporting layers that scale as origination volumes and product complexity increase.
• Create self-serve reporting environments for risk stakeholders while maintaining control frameworks.
• Prepare reporting and datasets for new initiatives on an ad-hoc basis and deep-dive insights required by Risk, Finance, and executive and senior leadership.
• Create ability to do data mining by the rest of the risk team.
• Bring visibility to more datasets that will support risk team’s day-to-day analytics and operational management towards SLAs

3. Supporting Portfolio Monitoring & Analytical Frameworks (Build scalable monitoring frameworks covering as below)

• Portfolio performance tracking
• Early warning indicators
• Concentration and exposure monitoring
• Vintage and cohort analysis
• Stress and sensitivity views
• Ensure reporting can flex across products, segments, and funding structures.

4. Ensuring Data Quality, Controls & Governance

• Implement validation checks and automated reconciliations within reporting pipelines.
• Own data integrity across risk reporting outputs.
• Develop monitoring for data drift and structural anomalies.
• Support internal audit and regulatory reviews with well-documented reporting logic and traceability.
• Closely collaborate with colleagues across Liberis, especially in the Engineering, Analytics, Product, Growth, Partnerships, and UK/US/European teams.

What we think you’ll need

• Bachelor’s or Master’s degree in Finance, Economics, Statistics, Mathematics, Data Analytics, Engineering or related quantitative discipline.
• 2-4 years experience in data management, building data marts or database maintenance.
• Strong affinity to build deep understanding of data flows and build re-usable datasets for the end-analytical users. Experience in a similar data role is a must.
• Demonstrated ability to drive high-quality analysis, with a robust understanding of how this will be used practically.
• Advance level proficiency and strong experience with databases management and analytical data product creation; Minimum 1 year of experience with Google Cloud Platform tools such as Looker, DBT, and BQ would be a must-have (minimum 6-months exp)
• Intermediate level proficiency in Excel and at least one BI/data visualisation tool (e.g.,Power BI, Tableau, Looker).
• Advanced SQL proficiency - ability to write complex queries independently across large datasets
• Ability to convey complex findings in a logical and easy-to-understand style.
• Turns rigorous analysis into clear, reasoned recommendations.
• Excellent analytical and problem-solving skills with strong attention to detail (must-have)
• Clear communicator with ability to explain complex data insights to non-technical stakeholders.
• Strong judgement, with the ability to make trade-offs between what is desired and what is feasible.
• Comfortable working in a fast-moving, ambiguous, and changing company.
• Experience working cross-functionally with engineering, risk, operations, and finance teams.
• A collaborative mindset and willingness to work with a wide range of teams.
  Experience in lending analytics or fintech credit products.
• Understanding of credit risk metrics and frameworks (PD/LGD/EAD) and lending

Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.

About Liberis

Liberis was founded and is backed by Blenheim Chalcot.

Liberis is on a mission to supercharge the power of small businesses around the world by delivering the financial products they need to grow, through our global network of partners. Before all else, Liberis is a technology company, connecting finance with small businesses. We use data to help partners understand their customers’ real-time needs and build technology that enables partners to offer tailored funding and financial products. To date, we’ve funded almost 50,000 small businesses with over $2bn - but we believe this is just the beginning. 

The Team

We are the Decision Analytics team sit with a goal to drive intelligent decision-making by applying advanced statistical analytics to a wealth of data. At the heart of the Risk function, our focus is to deliver high-quality instant decisions for our customers around the world.

Risk team is a globally team with offices in London, Nottingham and Atlanta US, covers Decision Analytics, Portfolio Management, Underwriting and Collections. We're on a mission to grow Liberis into the world's leading embedded business finance provider, and we're looking for a Decision Analytics Manager to help us make that happen!

The Role

Are you passionate about tackling complex challenges? Do you crave autonomy and the chance to innovate? If you're eager to make a real impact in finance that supports small businesses rather than just chasing profit, this is the perfect role for you.

You will own and evolve the automated credit decision policy across partners and products. You will be responsible for driving high auto-decision rates while maintaining competitive approval rates and robust risk performance. The role combines hands-on analytics with strategic ownership of acquisition decision strategies, monitoring frameworks, and model governance. This position is primarily a hands-on analytical role (70% individual contributor) while also mentoring and supporting junior team members (30% management). 

If you’ve got experience in an analytical role, using statistical tools to shape strategy, and the ability to turn data into clear, actionable insights, we want to hear from you.

What you’ll be doing

• Lead the development and optimisation of global decisioning strategies
• Own the automated decision policy framework and continuously enhance strategies to improve auto-decision rates and maintain competitive offerings.
• Work closely with the AI-ML team, playing a governance role in new model development, model approval and ongoing model monitoring
• Contribute to the development and enhancement of credit risk models
• Develop, own and enhance acquisition monitoring and performance reporting to track decision quality and risk performance
• Explore new and current data sources to optimise decisioning policy
• Mentor and support junior members within the team
• Collaborate with key risk stakeholders to maintain an acceptable risk level in a fast-evolving environment
• Represent Risk to the wider business, collaborating with Product and Commercial teams to unlock business value

What we think you’ll need

• 5+ years of experience in a relevant analytical, credit risk or decision science role
• 2+ years of experience working as a Decision Scientist or Data Scientist.
• A strong analytical mindset with a passion for turning complex data into insights
• The ability to communicate your findings clearly and effectively

Liberis is an equal opportunities employer. We welcome applications from all candidates, including individuals with disabilities and provide reasonable adjustments as required.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

About the Company 

At Redpin, we simplify life’s most important payments. Buying a property overseas can be stressful—especially when it comes to moving money. Through our Currencies Direct and TorFX brands, we’ve been helping customers do exactly that for over 25 years.

With recent investment, we are building a new generation of digital products and services that make international real estate payments simpler, faster, and more transparent.

As part of Redpin 2.0, we are transforming from a horizontal FX platform into a verticalized, embedded software company, positioning ourselves as the global solution for real estate payments.

About the Role

At Redpin, this role is not just about managing infrastructure — it’s about building intelligent, scalable, and developer-first platforms that power our next-generation digital products.

As a Senior Software Engineer – DevOps, you will play a hands-on role in designing, building, and operating cloud-native infrastructure and DevOps platforms, with a strong emphasis on automation, reliability, security, and cost efficiency.

We are looking for a DevOps Engineer with exposure to AI/ML or Generative AI use cases, who can help us embed intelligence into our engineering ecosystem — from pipelines to observability and platform operations.

What You'll Do

AI / ML / GenAI

• Hands-on experience with platforms such as OpenAI, Bedrock, or Vertex AI
• Strong understanding of prompt engineering and AI API integrations
• Solid foundation in machine learning concepts and LLM architectures

Cloud Infrastructure (AWS)

• Design and implement AI-powered automation solutions for DevOps and platform engineering use cases
• Build and integrate AI agents to enhance developer productivity
• Develop and maintain CI/CD pipelines with AI-assisted workflows
• Design, provision, and operate secure, scalable AWS infrastructure
• Work across compute, networking, storage, and IAM
• Support multi-account AWS environments and apply governance guardrails
• Implement Infrastructure as Code (IaC) using Terraform and/or CloudFormation
• Troubleshoot and resolve cloud infrastructure issues

CI/CD & DevOps Automation

• Build, maintain, and optimize CI/CD pipelines for application and microservices teams (preferably using GitLab or GitHub)
• Automate build, test, security scanning, and deployments
• Implement deployment strategies such as blue-green, canary, and rolling deployments
• Improve pipeline performance, stability, and developer experience

Cloud Security & Governance (Execution Focus)

• Implement AWS security best practices including IAM, VPC security, encryption, and secrets management
• Enforce tagging standards, access controls, and policy guardrails
• Integrate security scanning (SAST, DAST, container scanning) into CI/CD pipelines
• Support audit and compliance requirements

Reliability & Observability

• Implement and manage monitoring, logging, and alerting solutions
• Build dashboards for system health, availability, and performance
• Improve system reliability through automation and proactive monitoring

Cloud Cost Optimization

• Monitor and optimize AWS costs across services.
• Implement right-sizing, autoscaling, and storage lifecycle policies.
• Support Savings Plans and Reserved Instance optimization.
• Promote cost-efficient cloud usage and architecture

DevOps Best Practices

• Apply and promote DevOps principles such as automation, CI/CD, and IaC.
• Reduce operational toil through tooling and automation.
• Support teams in adopting cloud-native and DevOps best practices

Collaboration & Mentorship

• Work closely with application, SRE, and security teams.
• Mentor junior DevOps engineers through code reviews and hands-on guidance.
• Contribute to documentation, runbooks, and operational standards

What You’ll Need

• Strong hands-on experience with AWS (EC2, EKS, ECS, VPC, IAM, RDS, S3, CloudWatch)
• Experience building AI agents or automation bots
• Familiarity with MLOps and FinOps practices
• Strong scripting skills (Python or Bash)
• Proven experience with CI/CD tools (GitLab CI, GitHub etc.)
• Strong experience with Infrastructure as Code (Terraform preferred)
• Hands-on experience with Docker and Kubernetes (EKS)
• Solid understanding of Linux, networking, and cloud security
• Experience with monitoring, logging, and alerting systems
• Strong troubleshooting and automation skills

Bonus Points

•  AWS Config, CloudTrail, GuardDuty
• Observability tools (Corologix, ELK, Datadog)
• GitOps tools (ArgoCD, Flux)
• Scripting skills in Python, Go, or Bash
• Exposure to FinOps practices
• AWS Certified Solutions Architect – Associate or Professional

We welcome people from all backgrounds who seek the opportunity to help build a future where we connect the dots for international property payments. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world of PropTech forward together.

Redpin, Currencies Direct and TorFX are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Role Summary

We are hiring Senior Engineers who combine solid software engineering fundamentals with proven proficiency in AI-assisted development. This role is designed for engineers who have actively used AI coding tools (such as Cursor, Claude Code, Codex CLI only) for at least one year and can leverage these capabilities to ship higher-quality code faster. You will be embedded in product engineering squads, leading feature development, mentoring junior engineers, and championing AI-first development practices across the team.

What Makes This Role Different

This is not an AI research role - it is a core engineering role for engineers who use AI as a force multiplier. We expect you to:

• Use AI coding assistants daily to accelerate development without sacrificing code quality.
• Critically evaluate AI-generated code for correctness, security vulnerabilities, and maintainability.
• Share best practices for AI-assisted workflows with the broader engineering team.
• Help define team standards for responsible and effective AI tool adoption.

Key Responsibilities

1  Feature Engineering & Delivery

• Design, build, and ship production-quality features across the full stack or within your domain (backend, frontend, platform, or data).
• Leverage AI coding assistants to write, refactor, document, and test end-to-end code efficiently.
• Translate product requirements and technical specifications into clean, maintainable implementations.
• Lead feature squads for medium-complexity initiatives from design through deployment.
• Participate in and drive sprint planning, backlog grooming, and technical estimation sessions.

2  AI-Augmented Development Practices

• Champion the use of AI pair-programming tools (Copilot, Cursor, Claude, etc.) across the engineering org.
• Develop and document internal guidelines for effective AI prompt engineering within coding workflows.
• Conduct training sessions or knowledge-share presentations on maximising productivity with AI tools.
• Critically audit AI-generated code for logic errors, security issues, and performance anti-patterns before merging.
• Stay updated on the latest AI development tooling and evaluate new tools for team adoption.

3  Code Quality & Engineering Excellence

• Write testable, modular, and well-documented code following the team's style guides and design principles.
• Drive test-driven development (TDD) and maintain code coverage targets.
• Perform thorough code reviews with constructive feedback; uphold engineering standards.
• Identify and address technical debt proactively; contribute to architecture improvements.
• Participate in RCA (root cause analysis) for production incidents; implement lasting fixes.

4  Architecture & Technical Design

• Contribute to system design discussions, proposing solutions with appropriate trade-off analysis.
• Create and maintain technical design documents (TDDs), ADRs (Architecture Decision Records), and API contracts.
• Evaluate and adopt relevant third-party libraries, APIs, and SaaS tools with a security-first mindset.
• Collaborate with platform / DevOps teams on observability, CI/CD pipelines, and infrastructure-as-code.

5  Mentoring & Team Growth

• Mentor 1–2 mid-level engineers; conduct regular 1:1 technical coaching sessions.
• Onboard new team members by sharing codebase context, tooling setup, and team practices.
• Contribute to a culture of psychological safety, learning from failures, and continuous improvement.

6  Cross-functional Collaboration

• Work closely with Product Managers, Designers, and Operations to deliver delightful, high-quality user experiences.
• Coordinate with data and AI/ML teams to integrate model endpoints, APIs, and AI features into product surfaces.
• Participate in customer-facing escalations where deep technical expertise is required.

Required Qualifications

1  Education

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Candidates without a degree but with a strong portfolio and demonstrable project history will be considered.

2  Experience

• 3 – 5 years of professional software engineering experience in a product-focused environment.
• Minimum 1 year of active, hands-on experience using AI coding tools in professional work (not just personal projects).
• Track record of shipping production features end-to-end with measurable business impact.

3  Technical Skills — Core Engineering

• Languages: Proficiency in at least one of — Python, TypeScript/JavaScript, Java, Go, or Kotlin.
• Web / API: REST, GraphQL, gRPC; familiarity with microservices and event-driven architectures.
• Databases: SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis, DynamoDB).
• Cloud: AWS, GCP, or Azure — compute, storage, serverless, and managed services.
• DevOps: Docker, Kubernetes, CI/CD (GitHub Actions, Jenkins, CircleCI); IaC basics (Terraform/Pulumi).
• Testing: Unit, integration, and e2e testing frameworks; TDD/BDD familiarity.
• Version Control: Git, branching strategies (GitFlow, trunk-based), PR workflows.

4  AI Tooling Skills (Mandatory)

• Demonstrated proficiency with at least one AI coding assistant (Cursor IDE, Claude Code, Codex CLI).
• Ability to craft effective prompts for code generation, refactoring, debugging, and documentation tasks.
• Experience reviewing and validating AI-generated code for correctness and security.
• Understanding of limitations of LLM-based coding tools (hallucinations, context window, license risks).

5  Nice to Have

• Contributions to open-source projects.
• Experience building or integrating AI/ML features (e.g., calling LLM APIs, embedding models, RAG pipelines).
• Familiarity with agentic coding frameworks (LangChain, LlamaIndex, AutoGen, CrewAI).
• Experience in a startup or scale-up environment with rapid iteration cycles.
• Knowledge of web security (OWASP Top 10, secure coding practices).

Behavioural Competencies

• AI-First Mindset: Naturally reaches for AI tools to accelerate tasks while maintaining engineering rigour.
• Ownership: Takes end-to-end accountability — from design to deployment to monitoring.
• Pragmatism: Balances perfect with shipped; knows when to iterate vs. over-engineer.
• Mentorship: Invests in the growth of peers and junior colleagues.
• Communication: Writes clearly (code comments, docs, Slack) and articulates trade-offs confidently.
• Curiosity: Continuously explores new tools, languages, and architectural patterns.
• Collaboration: Works well in cross-functional squads; builds trust quickly.

Complexity in consumer systems is growing exponentially, creating new challenges in sensing, data processing, and system intelligence. Leveraging advanced sensor and signal processing technologies, we are addressing these challenges with innovative approaches. We are looking for an energetic Senior Firmware Engineer who can bridge these technologies with novel software solutions, algorithms, and machine learning primitives.

Required skills:

• Ability to work on communication stacks, in-depth domain knowledge on Bluetooth Classic, Bluetooth LE, Bluetooth Audio, Multipoint, Auracast, Controller stack protocols, BLE profiles/Services.
• Ability to work on system level architecture; ability to create and maintain system level solutions comprised of state-of-the-art hardware and software components and provide documentation for our products.                                   
• Development experience with functions and protocols such as TWS Role switch, fast pairing, voice assistants, Conformance and Teams certifications.
• Ability to understand complex customer application ecosystems and integrate our product offerings.
• Prior experience in developing and debugging all aspects of system software. This includes understanding overall system performance from both a hardware and software perspective.

Qualifications:

• BS or MS in Electrical or Computer Engineering or related field
• 5+ years of Industrial experience in firmware development
• Strong C/C++ and Python programming skills
• Strong knowledge of digital signal processing (DSP) and algorithm development experience
• Experience with communication stacks including Bluetooth classic, BLE USB, SDIO WiFi, Bluetooth & WiFi interoperability.
• Strong knowledge of Tensilica HiFi, Kalimba DSP cores and Bluetooth Audio Frameworks
• Hands on experience with integrating, building, and testing of multi-threaded applications.
• Experience with embedded real-time operating systems
• Experience with SCM tools (GIT, SVN, Clearcase, Perforce, etc.)
• Strong analytical and problem-solving abilities
• Experience with defect tracking tools (Jira, Bugzilla, etc.)
• Strong working knowledge of a software development process (e.g., Agile, Waterfall)
• Application of Object-Oriented concepts and methodologies
• Strong system level knowledge in audio, video and TWS domains

What we offer: 

• Dynamic and supporting international teams.
• Regular assessments and performance reviews. You will have the opportunity for promotion, bonuses and a raise in accordance with the pace at which you develop and your performance. 
• Remote, hybrid or office work.
• 20-25 vacation days per year.
• Equipment for work, laptop and all necessary additions.
• Access to training and courses.
• Private health insurance.
• FIT Pass card for many sports facilities.