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Become a part of our caring community Humana is committed to helping people achieve their best health by delivering innovative technology solutions that power exceptional member and provider experiences. The Director, Software Engineering (Platform & Tool Development) is a senior technology leader responsible for the engineering, architecture, development, delivery, and support of Humana's Enterprise Quality Engineering (EQE) technology ecosystem, including the Enterprise Quality Engineering Platform (EQE+), AI Workspace, AI-powered engineering tools, quality engineering applications, developer enablement solutions, automation platforms, and enterprise shared services. This leader will oversee multiple engineering teams responsible for designing, developing, modernizing, and operating business-critical platforms and applications that support quality engineering, automation, AI adoption, engineering productivity, and enterprise delivery excellence. The Director will provide both strategic and hands-on technical leadership, ensuring engineering teams deliver highly scalable, secure, cloud-native solutions that meet enterprise reliability, performance, and operational excellence standards. The role requires deep expertise in modern software engineering, cloud platforms, distributed systems, AI-enabled technologies, platform engineering, and application development. The Director will partner closely with Architecture, Product Management, Quality Engineering, DevOps, Security, Data & Analytics, and business leaders to deliver innovative technology solutions that accelerate Humana's digital transformation and engineering effectiveness initiatives. Key Responsibilities Engineering Strategy & Technology Lead

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac is seeking a hands-on AI engineering leader to serve as Director within the Single-Family Acquisitions (SFA) division, reporting to the Sr. Director of GenAI Engineering & Enterprise Rules Platform. This role owns the technical core of SFA’s AI Systems Solutioning, including Agent Engineering & Design. This includes (1) the overall design and execution of AI Systems development from Ideation & Business casing to Specification creation & execution through deployment, (2) the evaluation harnesses and graded assessment sets that determine whether an agent or AI System is ready for production, and (3) the operating layer that keeps agents accountable after go-live. The role is approximately 70% hands-on architecture and code and 30% leadership of a GenAI engineering efforts and platform and vendor delivery partners. The Director is forward-deployed by design. The role partners with the divisional GenAI PMO, Enterprise Operations & Technology (EO&T), and Digital Experience, and works alongside the Enterprise Business Rules platform team so that agent-driven and rule-driven decisioning share a common domain vocabulary, evaluation approach, and traceability model. Our Impact Freddie Mac was established by Congress to provide liquidity, stability, and affordability to the U.S. housing market. Within Single-Family Acquisitions, our technology platforms and decisioning systems are foundational to ensuring loans sold to Freddie Mac meet eligibility, credit risk, and regulatory requirements at scale. Your Impact This role is a player / coach model. You wi

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary The Senior Software Development Engineer is responsible for leading the design, development, and implementation of innovative digital solutions that power exceptional member experiences. In this role, you will leverage advanced technical expertise to architect and build cloud-native, microservices-based applications with a strong emphasis on event-driven architecture, modern technology stacks, and emerging AI technologies. You will collaborate closely with cross-functional teams across Digital, Data and Analytics, and Platform Engineering to drive innovation and shape the overall technical direction of our digital engineering initiatives. This position also involves contributing to technical direction, mentoring peers, and partnering with architects and product teams to translate business requirements into scalable, maintainable solutions. The ideal candidate is a hands-on engineer who takes ownership of the full software lifecycle - from design through deployment and operations - and brings a collaborative, problem-solving mindset to every challenge. Required Qualifications 5&#43; years of software engineering experience, with a focus on enterprise-level digital solutions. 3&#43; years of hands-on experience with Node.js, JavaScript, and TypeScript, including strong proficiency in asynchronous programming and server-side application development.</

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Software Engineer Overview Mastercard is seeking a highly skilled and passionate Tech Lead to drive the next generation of platform modernization, API transformation, cloud-native engineering, agentic workflow solutions, and AI-enabled product capabilities. The ideal candidate is a hands-on technical leader who can architect and deliver scalable enterprise systems while mentoring engineering teams, influencing technical strategy, and driving innovation across multiple initiatives. This role requires deep expertise in distributed systems, APIs, cloud technologies, AI-powered engineering, data platforms, and software delivery at scale. The successful candidate will play a critical role in shaping the future of Mastercard's intelligent platforms by combining strong technical leadership with exceptional execution capabilities. Role & Responsibilities Technical Leadership • Lead end-to-end delivery of complex engineering initiatives. • Define technical architecture, engineering patterns, solution roadmaps, and development standards. • Drive technical design reviews, architecture discussions, and engineering best practices. • Guide teams in building scalable, secure, resilient, and maintainable platforms. • Evaluate emerging technologies and recommend strategic adoption opportuni

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Requisition Job Description Position Summary The Senior Software Development Engineer is responsible for leading the design, development, and implementation of innovative digital solutions that power exceptional member experiences. In this role, you will leverage advanced technical expertise to architect and build cloud-native, microservices-based applications with a strong emphasis on event-driven architecture, modern technology stacks, and emerging AI technologies. You will collaborate closely with cross-functional teams across Digital, Data and Analytics, and Platform Engineering to drive innovation and shape the overall technical direction of our digital engineering initiatives. This position also involves contributing to technical direction, mentoring peers, and partnering with architects and product teams to translate business requirements into scalable, maintainable solutions. The ideal candidate is a hands-on engineer who takes ownership of the full software lifecycle - from design through deployment and operations - and brings a collaborative, problem-solv

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Join us at the start of a new era in health care where technology is transforming how and where care is delivered, creating a more connected, effective care experience for all. Our mission at Signify Health is to build trusted relationships to make people healthier. We do this by transforming the home into a health hub through a combination of data, technology & people. We are building a unified technology platform for value-based care that is improving care and reducing spending by treating patients in lower-cost settings and linking providers’ payments to patient outcomes. Signify Health is driving this industry transformation and solving some of the most challenging problems in healthcare – this is where you come in! About the Role As a Staff Software Engineer, you’ll be a key member of a collaborative team responsible for design, delivery and operation of business-critical, distributed systems. We’re looking for technically strong, passionate people with an entrepreneurial spirit to build and sustain innovative solutions. Required Qualifications 7 years of software development experience. Strong foundation in software engineering: problem solving, data structures, algorithms, patterns, concurrency. Experience as a polyglot soft

What if the software you developed directly enabled some of the nation's most critical missions? As a Senior Software Developer, you'll do more than write exceptional code, you'll help build innovative, secure, and scalable solutions that support Intelligence Community operations. If you're passionate about modern software engineering, enjoy collaborating in Agile teams, and thrive on solving complex technical challenges, Leidos wants to hear from you. On the Maru Program, you’ll join a high-performing team where your ideas are valued, your technical expertise is trusted, and your work has a tangible impact. Working alongside software engineers, architects, DevSecOps engineers, cybersecurity professionals, and mission stakeholders, you'll develop next-generation applications that deliver mission-critical capabilities in a fast-paced Agile environment. This is your opportunity to build cutting-edge software while contributing to work that truly matters. What You'll Do As a Senior Software Developer, you'll play a key role in designing, developing, testing, and deploying secure, scalable applications that support enterprise and mission operations. Please note Gaithersburg, MD is the program’s primary work location. Clearance Level Required: Active Top Secret/SCI with the ability to successfully pass a Polygraph examination. Primary Responsibilities: Design, develop, test, deploy, and maintain enterprise software applications using modern development practices. Collaborate with Product Owners, Scrum Masters, architects, and fellow developers to deliver high-quality software in Agile sprints. Participate in sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives. Develop clean, maintainable, and

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Platform Operations & Compliance team is focused on integrating Altana’s products with customers to provide unique insights, business process integrations, and create customer value. We execute complex customer integrations to create and customise data pipelines for unique customer scenarios; integrate proprietary customer data to our knowledge graph while supporting reliability, release, cost and control obligations that come with operating big-data pipelines for public sector customers. The Platform Operations & Compliance team works closely with customers, as well as our internal Engineering, Machine Learning, InfoSec and Product organisations. In this role, you will: Develop, deploy and continuously improve distributed, big-data pipelines powering Altana’s state of the art network analysis, ML, data ingestion and fusion capabilities Understand and drive forward Altana's technology to make it more scalable and to meet the evolving requirements of our customer base Support platform reliability, cost and controls and support customer security reviews and accreditations Serve as the technical expert in client-facing meetings, bridging the gap between complex government requirements and our platform's technical architecture. Work in a cross-functional team of engineers, data scientists, and product managers Evaluate and recommend new tools, technologies, and best practices for data pipeline development, orchestration and deployment About You You are a seasoned data engineer and technical leader with deep expertise in building and scaling data systems. You combine strong hands-on engineering skills with the ability to set technical direction, influence across teams, and elevate those around you. You are someone who proactively takes owners

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The Implementation team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, wiring Altana into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. You Will Design and deploy agentic AI systems Design, build, and deploy agentic AI workflows — multi-step agents, tool and function calling, and automations — that power the customer's business processes and act on real customer data Ground agents in customer context: connect them to the right data sources, APIs, and systems of record, and define the tools, permissions, and guardrails they operate within Write and refine the prompts, system instructions, and evaluation criteria that make an agent reliable enough to trust in production Build the orchestration and human-in-the-loop checkpoints that keep agentic workflows safe, auditable, and correctable in a customer's environment Monitor, evaluate, and iterate on deployed processes — tracking accuracy, cost, and latency, and tuning them as the customer's data and needs evolve Own technology implementation and delivery Lead customer implementations end to end: scoping, configuration, integration, validation, go-live, and handoff to steady-state support Configure and deploy Altana's platform capabilities against real customer data and real customer

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

Altana is the network for trusted trade. Our AI-powered product network empowers governments and businesses to build a more resilient and secure global economy while keeping trade flowing. The Opportunity at Altana The AI Deployment team is the tip of the spear in getting Altana's platform into production inside our customers' businesses. We own the path from signed contract to realized value: standing up integrations, deploying agentic AI into the customer's existing business processes, and making sure the insight we deliver actually changes decisions on the customer's side. We are a delivery organization with a technical core. We work directly with customer stakeholders — from trade compliance analysts to enterprise IT — and we work just as closely with Altana's engineering, data science, and product teams to translate what we learn in the field into what gets built next. This role leads that team. You Will Lead and grow a team of AI Deployment Engineers Hire, coach, and grow a team of AI Deployment Engineers — set expectations, give direct feedback, and develop careers Own team capacity and staffing across a portfolio of customer implementations, matching engineers to accounts by skill, delivery risk, and development goals Establish the team’s operating rhythm — planning, reviews, and retrospectives that keep multiple implementations on track at once Build a culture of ownership, technical rigor, and adoption-focused delivery, where “done” means the customer is using it in their process, without us in the room Create the conditions for the team to move fast safely: shared playbooks, reusable tooling, and clear standards for deploying agentic systems in production Own the mission across your portfolio Own delivery outcomes across every account your team touches: agentic AI in production, adoption, and changing decisions on the customer's side Set and defend the roadmap across implementations — sequencing by customer value and delivery risk, and making explicit cal

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Our transport network serves the needs of millions of people every day who want to get from one place to another using Lyft cars, bikes and scooters, or on foot in the most efficient way. To serve these needs, we need to suggest the fastest, most affordable and safest routes. We are hiring a Machine Learning Engineer to join our Routing team. Our team builds and maintains Lyft's system responsible for providing routes for every ride request on our platform. We process millions of route requests per day and low latency, high reliability and high accuracy are paramount for our success. If you are a critical thinker with experience in machine learning workflows and writing reliable code, passionate about solving business problems using data and working in a dynamic, creative, and collaborative environment, we are searching for you. Our technology stack runs on AWS, Kubernetes, Go, Python/C++, Apache Airflow, Flink, and Kafka. We use AI to improve development productivity, optimize customer support workflows, and enhance operational efficiency — all without compromising code quality or security. In this role, you will work with incredibly passionate and talented colleagues from software engineering, machine learning and data science on building rideshare experiences that delight millions of riders and drivers. Responsibilities: Perform data analysis and build proof-of-concept to explore and compare ML and non-ML solutions Be able to make effective tradeoffs between model accuracy, its productization complexity and runtime performance Develop statistical, machine learning, or optimization models Write production quality code that can scale well to serve millions of requests per day Participate in code reviews, design reviews, production on-call support and incident triaging process

Position Overview Our customers are at the forefront of some of the most interesting data in the world, using SingleStore to push the boundaries every day. To do this well, they leverage the expertise of our Support Engineering Team, composed of technical subject matter experts on the frontline of critical customer issues. This Support Engineering role skews far more towards engineering than typical technical support as you will need to delve into database internals and memory allocators, investigate Linux and host-related configurations, and diagnose SQL query behaviour, all in the name of resolving complex database issues. Our Support Engineers are constantly learning a wide range of customer systems and technical concepts and are thrilled by the new and exciting challenges that they encounter on a regular basis. To accurately identify the source and solution of an issue, this team will take the time to learn about the customer’s business and systems while helping to improve their fundamental SingleStore and database operational knowledge. This often requires additional research and time spent on learning new technologies and tools outside of SingleStore while also being deeply engaged with multiple departments including development teams, query performance engineering, product management, infrastructure SREs, etc. Required Hours The hours required are from 11:30 AM IST - 8:30 PM IST (9 hours) for 5 days Participate in our on-call rotation that may include weekends and holidays. Role and Responsibilities Provide email and live technical support to our enterprise customers, acting as the first line of defense for complex technical issues, bug diagnosis, or resolving critical outages. Identify and reproduce product issues, perform QA, and submit formal bug reports or feature requests to the appropriate Engineering team. Collaborate closely with software developers, sales engineers, and technical account managers to keep all teams up to date with current